| Year |
Citation |
Score |
| 2021 |
McDonald DJ, Bien J, Green A, Hu AJ, DeFries N, Hyun S, Oliveira NL, Sharpnack J, Tang J, Tibshirani R, Ventura V, Wasserman L, Tibshirani RJ. Can auxiliary indicators improve COVID-19 forecasting and hotspot prediction? Proceedings of the National Academy of Sciences of the United States of America. 118. PMID 34903655 DOI: 10.1073/pnas.2111453118 |
0.425 |
|
| 2021 |
Reinhart A, Brooks L, Jahja M, Rumack A, Tang J, Agrawal S, Al Saeed W, Arnold T, Basu A, Bien J, Cabrera ÁA, Chin A, Chua EJ, Clark B, Colquhoun S, ... ... Tibshirani R, ... ... Tibshirani RJ, et al. An open repository of real-time COVID-19 indicators. Proceedings of the National Academy of Sciences of the United States of America. 118. PMID 34903654 DOI: 10.1073/pnas.2111452118 |
0.732 |
|
| 2019 |
Bates S, Tibshirani R. Log-ratio lasso: Scalable, sparse estimation for log-ratio models. Biometrics. 75: 613-624. PMID 30387139 DOI: 10.1111/Biom.12995 |
0.344 |
|
| 2018 |
Powers S, Hastie T, Tibshirani R. Nuclear penalized multinomial regression with an application to predicting at bat outcomes in baseball. Statistical Modelling. 18: 388-410. PMID 31105469 DOI: 10.1177/1471082X18777669 |
0.304 |
|
| 2018 |
Normand R, Du W, Briller M, Gaujoux R, Starosvetsky E, Ziv-Kenet A, Shalev-Malul G, Tibshirani RJ, Shen-Orr SS. Found In Translation: a machine learning model for mouse-to-human inference. Nature Methods. PMID 30478323 DOI: 10.1038/S41592-018-0214-9 |
0.321 |
|
| 2018 |
Reid S, Newman AM, Diehn M, Alizadeh AA, Tibshirani R. Genomic Feature Selection by Coverage Design Optimization. Journal of Applied Statistics. 45: 2658-2676. PMID 30294060 DOI: 10.1080/02664763.2018.1432577 |
0.327 |
|
| 2018 |
Taylor J, Tibshirani R. Post-Selection Inference for -Penalized Likelihood Models. The Canadian Journal of Statistics = Revue Canadienne De Statistique. 46: 41-61. PMID 30127543 DOI: 10.1002/Cjs.11313 |
0.312 |
|
| 2018 |
Tibshirani RJ, Rinaldo A, Tibshirani R, Wasserman L. Uniform asymptotic inference and the bootstrap after model selection The Annals of Statistics. 46: 1255-1287. DOI: 10.1214/17-Aos1584 |
0.536 |
|
| 2017 |
Reid S, Taylor J, Tibshirani R. A General Framework for Estimation and Inference From Clusters of Features Journal of the American Statistical Association. 113: 280-293. DOI: 10.1080/01621459.2016.1246368 |
0.303 |
|
| 2016 |
Wager S, Du W, Taylor J, Tibshirani RJ. High-dimensional regression adjustments in randomized experiments. Proceedings of the National Academy of Sciences of the United States of America. PMID 27791165 DOI: 10.1073/Pnas.1614732113 |
0.319 |
|
| 2016 |
Reid S, Tibshirani R. Sparse regression and marginal testing using cluster prototypes. Biostatistics (Oxford, England). 17: 364-76. PMID 26614384 DOI: 10.1093/Biostatistics/Kxv049 |
0.302 |
|
| 2016 |
Tibshirani RJ, Taylor J, Lockhart R, Tibshirani R. Exact Post-Selection Inference for Sequential Regression Procedures Journal of the American Statistical Association. 111: 600-620. DOI: 10.1080/01621459.2015.1108848 |
0.321 |
|
| 2016 |
Gross SM, Tibshirani R. Data Shared Lasso: A novel tool to discover uplift Computational Statistics and Data Analysis. 101: 226-235. DOI: 10.1016/J.Csda.2016.02.015 |
0.316 |
|
| 2015 |
Powers S, Hastie T, Tibshirani R. CUSTOMIZED TRAINING WITH AN APPLICATION TO MASS SPECTROMETRIC IMAGING OF CANCER TISSUE. The Annals of Applied Statistics. 9: 1709-1725. PMID 30370000 DOI: 10.1214/15-Aoas866 |
0.31 |
|
| 2015 |
Taylor J, Tibshirani RJ. Statistical learning and selective inference. Proceedings of the National Academy of Sciences of the United States of America. 112: 7629-34. PMID 26100887 DOI: 10.1073/Pnas.1507583112 |
0.325 |
|
| 2015 |
Bien J, Simon N, Tibshirani R. Convex hierarchical testing of interactions Annals of Applied Statistics. 9: 27-42. DOI: 10.1214/14-Aoas758 |
0.602 |
|
| 2015 |
G'Sell MG, Wager S, Chouldechova A, Tibshirani R. Sequential selection procedures and false discovery rate control Journal of the Royal Statistical Society: Series B (Statistical Methodology). 78: 423-444. DOI: 10.1111/Rssb.12122 |
0.302 |
|
| 2015 |
Simon N, Tibshirani R. A Permutation Approach to Testing Interactions for Binary Response by Comparing Correlations Between Classes Journal of the American Statistical Association. 110: 1707-1716. DOI: 10.1080/01621459.2014.993079 |
0.64 |
|
| 2014 |
Tian L, Alizadeh AA, Gentles AJ, Tibshirani R. A Simple Method for Estimating Interactions between a Treatment and a Large Number of Covariates. Journal of the American Statistical Association. 109: 1517-1532. PMID 25729117 DOI: 10.1080/01621459.2014.951443 |
0.336 |
|
| 2014 |
Lockhart R, Taylor J, Tibshirani RJ, Tibshirani R. A SIGNIFICANCE TEST FOR THE LASSO. Annals of Statistics. 42: 413-468. PMID 25574062 DOI: 10.1214/13-Aos1175 |
0.307 |
|
| 2014 |
de Sisternes L, Simon N, Tibshirani R, Leng T, Rubin DL. Quantitative SD-OCT imaging biomarkers as indicators of age-related macular degeneration progression. Investigative Ophthalmology & Visual Science. 55: 7093-103. PMID 25301882 DOI: 10.1167/Iovs.14-14918 |
0.599 |
|
| 2014 |
Bruggner RV, Bodenmiller B, Dill DL, Tibshirani RJ, Nolan GP. Automated identification of stratifying signatures in cellular subpopulations. Proceedings of the National Academy of Sciences of the United States of America. 111: E2770-7. PMID 24979804 DOI: 10.1073/Pnas.1408792111 |
0.316 |
|
| 2014 |
Furman D, Hejblum BP, Simon N, Jojic V, Dekker CL, Thiébaut R, Tibshirani RJ, Davis MM. Systems analysis of sex differences reveals an immunosuppressive role for testosterone in the response to influenza vaccination. Proceedings of the National Academy of Sciences of the United States of America. 111: 869-74. PMID 24367114 DOI: 10.1073/Pnas.1321060111 |
0.595 |
|
| 2014 |
G'Sell MG, Shen-Orr SS, Tibshirani R. Sensitivity analysis for inference with partially identifiable covariance matrices Computational Statistics. 29: 529-546. DOI: 10.1007/S00180-013-0451-4 |
0.343 |
|
| 2013 |
Witten DM, Tibshirani R. Scientific research in the age of omics: the good, the bad, and the sloppy. Journal of the American Medical Informatics Association : Jamia. 20: 125-7. PMID 23037799 DOI: 10.1136/Amiajnl-2012-000972 |
0.531 |
|
| 2013 |
Zhang Y, Tibshirani R, Davis R. Classification of patients from time-course gene expression. Biostatistics (Oxford, England). 14: 87-98. PMID 22926914 DOI: 10.1093/Biostatistics/Kxs027 |
0.335 |
|
| 2013 |
Bien J, Taylor J, Tibshirani R. A lasso for hierarchical interactions Annals of Statistics. 41: 1111-1141. DOI: 10.1214/13-Aos1096 |
0.331 |
|
| 2013 |
Simon N, Friedman J, Hastie T, Tibshirani R. A sparse-group lasso Journal of Computational and Graphical Statistics. 22: 231-245. DOI: 10.1080/10618600.2012.681250 |
0.621 |
|
| 2012 |
Simon N, Tibshirani R. STANDARDIZATION AND THE GROUP LASSO PENALTY. Statistica Sinica. 22: 983-1001. PMID 26257503 DOI: 10.5705/Ss.2011.075 |
0.604 |
|
| 2012 |
Tibshirani R, Bien J, Friedman J, Hastie T, Simon N, Taylor J, Tibshirani RJ. Strong rules for discarding predictors in lasso-type problems. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 74: 245-266. PMID 25506256 DOI: 10.1111/J.1467-9868.2011.01004.X |
0.612 |
|
| 2012 |
Brunner AL, Beck AH, Edris B, Sweeney RT, Zhu SX, Li R, Montgomery K, Varma S, Gilks T, Guo X, Foley JW, Witten DM, Giacomini CP, Flynn RA, Pollack JR, ... Tibshirani R, et al. Transcriptional profiling of long non-coding RNAs and novel transcribed regions across a diverse panel of archived human cancers. Genome Biology. 13: R75. PMID 22929540 DOI: 10.1186/Gb-2012-13-8-R75 |
0.536 |
|
| 2012 |
Li J, Witten DM, Johnstone IM, Tibshirani R. Normalization, testing, and false discovery rate estimation for RNA-sequencing data. Biostatistics (Oxford, England). 13: 523-38. PMID 22003245 DOI: 10.1093/Biostatistics/Kxr031 |
0.588 |
|
| 2012 |
Allen GI, Tibshirani R. Inference with transposable data: modelling the effects of row and column correlations Journal of the Royal Statistical Society: Series B (Statistical Methodology). 74: 721-743. DOI: 10.1111/J.1467-9868.2011.01027.X |
0.349 |
|
| 2011 |
Simon N, Friedman J, Hastie T, Tibshirani R. Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent. Journal of Statistical Software. 39: 1-13. PMID 27065756 DOI: 10.18637/Jss.V039.I05 |
0.606 |
|
| 2011 |
Ganjoo KN, Witten D, Patel M, Espinosa I, La T, Tibshirani R, van de Rijn M, Jacobs C, West RB. The prognostic value of tumor-associated macrophages in leiomyosarcoma: a single institution study. American Journal of Clinical Oncology. 34: 82-6. PMID 23781555 DOI: 10.1097/Coc.0B013E3181D26D5E |
0.556 |
|
| 2011 |
Bien J, Tibshirani RJ. Sparse estimation of a covariance matrix. Biometrika. 98: 807-820. PMID 23049130 DOI: 10.1093/Biomet/Asr054 |
0.318 |
|
| 2011 |
Witten DM, Tibshirani R. Penalized classification using Fisher's linear discriminant. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 73: 753-772. PMID 22323898 DOI: 10.1111/J.1467-9868.2011.00783.X |
0.589 |
|
| 2011 |
Li J, Tibshirani R. Finding consistent patterns: a nonparametric approach for identifying differential expression in RNA-Seq data. Statistical Methods in Medical Research. 22: 519-36. PMID 22127579 DOI: 10.1177/0962280211428386 |
0.327 |
|
| 2011 |
Shahbaba B, Tibshirani R, Shachaf CM, Plevritis SK. Bayesian gene set analysis for identifying significant biological pathways. Journal of the Royal Statistical Society. Series C, Applied Statistics. 60: 541-557. PMID 21857748 DOI: 10.1111/J.1467-9876.2011.00765.X |
0.335 |
|
| 2011 |
Alizadeh AA, Gentles AJ, Alencar AJ, Liu CL, Kohrt HE, Houot R, Goldstein MJ, Zhao S, Natkunam Y, Advani RH, Gascoyne RD, Briones J, Tibshirani RJ, Myklebust JH, Plevritis SK, et al. Prediction of survival in diffuse large B-cell lymphoma based on the expression of 2 genes reflecting tumor and microenvironment. Blood. 118: 1350-8. PMID 21670469 DOI: 10.1182/Blood-2011-03-345272 |
0.328 |
|
| 2011 |
Nowak G, Hastie T, Pollack JR, Tibshirani R. A fused lasso latent feature model for analyzing multi-sample aCGH data. Biostatistics (Oxford, England). 12: 776-91. PMID 21642389 DOI: 10.1093/Biostatistics/Kxr012 |
0.332 |
|
| 2011 |
Bien J, Tibshirani R. Prototype selection for interpretable classification Annals of Applied Statistics. 5: 2403-2424. DOI: 10.1214/11-Aoas495 |
0.326 |
|
| 2011 |
Witten DM, Tibshirani R. Supervised multidimensional scaling for visualization, classification, and bipartite ranking Computational Statistics and Data Analysis. 55: 789-801. DOI: 10.1016/J.Csda.2010.07.001 |
0.568 |
|
| 2010 |
Allen GI, Tibshirani R. TRANSPOSABLE REGULARIZED COVARIANCE MODELS WITH AN APPLICATION TO MISSING DATA IMPUTATION. The Annals of Applied Statistics. 4: 764-790. PMID 26877823 DOI: 10.1214/09-Aoas314 |
0.339 |
|
| 2010 |
Zhang Y, Tibshirani RJ, Davis RW. Predicting patient survival from longitudinal gene expression. Statistical Applications in Genetics and Molecular Biology. 9: Article41. PMID 21126232 DOI: 10.2202/1544-6115.1617 |
0.326 |
|
| 2010 |
Witten DM, Tibshirani R. A framework for feature selection in clustering. Journal of the American Statistical Association. 105: 713-726. PMID 20811510 DOI: 10.1198/Jasa.2010.Tm09415 |
0.547 |
|
| 2010 |
Tian L, Tibshirani R. Adaptive index models for marker-based risk stratification. Biostatistics (Oxford, England). 12: 68-86. PMID 20663850 DOI: 10.1093/Biostatistics/Kxq047 |
0.319 |
|
| 2010 |
Witten D, Tibshirani R, Gu SG, Fire A, Lui WO. Ultra-high throughput sequencing-based small RNA discovery and discrete statistical biomarker analysis in a collection of cervical tumours and matched controls Bmc Biology. 8. PMID 20459774 DOI: 10.1186/1741-7007-8-58 |
0.54 |
|
| 2010 |
Beck AH, Weng Z, Witten DM, Zhu S, Foley JW, Lacroute P, Smith CL, Tibshirani R, van de Rijn M, Sidow A, West RB. 3'-end sequencing for expression quantification (3SEQ) from archival tumor samples. Plos One. 5: e8768. PMID 20098735 DOI: 10.1371/Journal.Pone.0008768 |
0.575 |
|
| 2010 |
Beck AH, Lee CH, Witten DM, Gleason BC, Edris B, Espinosa I, Zhu S, Li R, Montgomery KD, Marinelli RJ, Tibshirani R, Hastie T, Jablons DM, Rubin BP, Fletcher CD, et al. Discovery of molecular subtypes in leiomyosarcoma through integrative molecular profiling. Oncogene. 29: 845-54. PMID 19901961 DOI: 10.1038/Onc.2009.381 |
0.566 |
|
| 2010 |
Witten DM, Tibshirani R. Survival analysis with high-dimensional covariates. Statistical Methods in Medical Research. 19: 29-51. PMID 19654171 DOI: 10.1177/0962280209105024 |
0.582 |
|
| 2010 |
Friedman J, Hastie T, Tibshirani R. Regularization Paths for Generalized Linear Models via Coordinate Descent Journal of Statistical Software. 33: 1-22. DOI: 10.18637/Jss.V033.I01 |
0.31 |
|
| 2009 |
Witten DM, Tibshirani R. Covariance-regularized regression and classification for high-dimensional problems. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 71: 615-636. PMID 20084176 DOI: 10.1111/J.1467-9868.2009.00699.X |
0.605 |
|
| 2009 |
Hong WJ, Tibshirani R, Chu G. Local false discovery rate facilitates comparison of different microarray experiments. Nucleic Acids Research. 37: 7483-97. PMID 19825981 DOI: 10.1093/Nar/Gkp813 |
0.31 |
|
| 2009 |
Sridhar K, Ross DT, Tibshirani R, Butte AJ, Greenberg PL. Relationship of differential gene expression profiles in CD34+ myelodysplastic syndrome marrow cells to disease subtype and progression. Blood. 114: 4847-58. PMID 19801443 DOI: 10.1182/Blood-2009-08-236422 |
0.307 |
|
| 2009 |
Witten DM, Tibshirani RJ. Extensions of sparse canonical correlation analysis with applications to genomic data. Statistical Applications in Genetics and Molecular Biology. 8: Article28. PMID 19572827 DOI: 10.2202/1544-6115.1470 |
0.603 |
|
| 2009 |
Zhao H, Zongming Ma, Tibshirani R, Higgins JP, Ljungberg B, Brooks JD. Alteration of gene expression signatures of cortical differentiation and wound response in lethal clear cell renal cell carcinomas. Plos One. 4: e6039. PMID 19557179 DOI: 10.1371/Journal.Pone.0006039 |
0.311 |
|
| 2009 |
Tibshirani RJ. Univariate shrinkage in the cox model for high dimensional data. Statistical Applications in Genetics and Molecular Biology. 8: Article21. PMID 19409065 DOI: 10.2202/1544-6115.1438 |
0.356 |
|
| 2009 |
Witten DM, Tibshirani R, Hastie T. A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Biostatistics (Oxford, England). 10: 515-34. PMID 19377034 DOI: 10.1093/Biostatistics/Kxp008 |
0.539 |
|
| 2009 |
Witten DM, Hastie T, Tibshirani R. Discussion Journal of the American Statistical Association. 104: 698-699. DOI: 10.1198/jasa.2009.0143 |
0.446 |
|
| 2008 |
Witten DM, Tibshirani R. TESTING SIGNIFICANCE OF FEATURES BY LASSOED PRINCIPAL COMPONENTS. The Annals of Applied Statistics. 2: 986-1012. PMID 19756232 DOI: 10.1214/08-AOAS182SUPP |
0.574 |
|
| 2008 |
Sahoo D, Dill DL, Gentles AJ, Tibshirani R, Plevritis SK. Boolean implication networks derived from large scale, whole genome microarray datasets. Genome Biology. 9: R157. PMID 18973690 DOI: 10.1186/Gb-2008-9-10-R157 |
0.317 |
|
| 2008 |
Sikic BI, Tibshirani R, Lacayo NJ. Genomics of childhood leukemias: the virtue of complexity. Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology. 26: 4367-8. PMID 18802145 DOI: 10.1200/Jco.2008.16.4285 |
0.354 |
|
| 2008 |
Malumbres R, Chen J, Tibshirani R, Johnson NA, Sehn LH, Natkunam Y, Briones J, Advani R, Connors JM, Byrne GE, Levy R, Gascoyne RD, Lossos IS. Paraffin-based 6-gene model predicts outcome in diffuse large B-cell lymphoma patients treated with R-CHOP. Blood. 111: 5509-14. PMID 18445689 DOI: 10.1182/Blood-2008-02-136374 |
0.314 |
|
| 2008 |
Bullinger L, Döhner K, Kranz R, Stirner C, Fröhling S, Seholl C, Kim YH, Schlenk RF, Tibshirani R, Döhner H, Pollack JR. An FLT3 gene-expression signature predicts clinical outcome in normal karyotype AML Blood. 111: 4490-4495. PMID 18309032 DOI: 10.1182/Blood-2007-09-115055 |
0.321 |
|
| 2008 |
Friedman J, Hastie T, Tibshirani R. Sparse inverse covariance estimation with the graphical lasso. Biostatistics (Oxford, England). 9: 432-41. PMID 18079126 DOI: 10.1093/Biostatistics/Kxm045 |
0.308 |
|
| 2008 |
Witten DM, Tibshirani R. Testing significance of features by lassoed principal components The Annals of Applied Statistics. 2: 986-1012. DOI: 10.1214/08-Aoas182 |
0.382 |
|
| 2008 |
Höfling H, Tibshirani R. A study of pre-validation The Annals of Applied Statistics. 2: 643-664. DOI: 10.1214/07-Aoas152 |
0.302 |
|
| 2008 |
Paul D, Bair E, Hastie T, Tibshirani R. "Preconditioning" for feature selection and regression in high-dimensional problems Annals of Statistics. 36: 1595-1618. DOI: 10.1214/009053607000000578 |
0.338 |
|
| 2008 |
Advani R, Talreja N, Tibshirani R, Zhao S, Alizadeh A, Briones J, Bordes R, Cohen J, Horning S, Levy R, Lossos I, Natkunam Y. LMO2 Protein Expression Predicts Survival in Patients with Diffuse Large B-Cell Lymphoma Treated with Immunochemotherapy (RCHOP): A Multicenter Validation Study Blood. 112: 3769-3769. DOI: 10.1182/Blood.V112.11.3769.3769 |
0.309 |
|
| 2007 |
Nowak G, Tibshirani R. Complementary hierarchical clustering. Biostatistics (Oxford, England). 9: 467-83. PMID 18093965 DOI: 10.1093/Biostatistics/Kxm046 |
0.311 |
|
| 2007 |
Sahoo D, Dill DL, Tibshirani R, Plevritis SK. Extracting binary signals from microarray time-course data. Nucleic Acids Research. 35: 3705-12. PMID 17517782 DOI: 10.1093/Nar/Gkm284 |
0.325 |
|
| 2007 |
Tibshirani R, Wang P. Spatial smoothing and hot spot detection for CGH data using the fused lasso. Biostatistics (Oxford, England). 9: 18-29. PMID 17513312 DOI: 10.1093/Biostatistics/Kxm013 |
0.309 |
|
| 2007 |
Tibshirani R, Hastie T. Outlier sums for differential gene expression analysis. Biostatistics (Oxford, England). 8: 2-8. PMID 16702229 DOI: 10.1093/Biostatistics/Kxl005 |
0.339 |
|
| 2007 |
Park MY, Hastie T, Tibshirani R. Averaged gene expressions for regression. Biostatistics (Oxford, England). 8: 212-27. PMID 16698769 DOI: 10.1093/Biostatistics/Kxl002 |
0.341 |
|
| 2007 |
Guo Y, Hastie T, Tibshirani R. Regularized linear discriminant analysis and its application in microarrays. Biostatistics (Oxford, England). 8: 86-100. PMID 16603682 DOI: 10.1093/Biostatistics/Kxj035 |
0.347 |
|
| 2007 |
Efron B, Tibshirani R. On testing the significance of sets of genes The Annals of Applied Statistics. 1: 107-129. DOI: 10.1214/07-Aoas101 |
0.571 |
|
| 2007 |
Efron B, Hastie T, Tibshirani R. Discussion: The dantzig selector: Statistical estimation when p is much larger than n Annals of Statistics. 35: 2358-2364. DOI: 10.1214/009053607000000433 |
0.564 |
|
| 2007 |
Zou H, Hastie T, Tibshirani R. On the "degrees of freedom" of the lasso Annals of Statistics. 35: 2173-2192. DOI: 10.1214/009053607000000127 |
0.311 |
|
| 2006 |
Kapp AV, Jeffrey SS, Langerød A, Børresen-Dale AL, Han W, Noh DY, Bukholm IR, Nicolau M, Brown PO, Tibshirani R. Discovery and validation of breast cancer subtypes. Bmc Genomics. 7: 231. PMID 16965636 DOI: 10.1186/1471-2164-7-231 |
0.304 |
|
| 2006 |
Zhao H, Ljungberg B, Grankvist K, Rasmuson T, Tibshirani R, Brooks JD. Gene expression profiling predicts survival in conventional renal cell carcinoma. Plos Medicine. 3: e13. PMID 16318415 DOI: 10.1371/Journal.Pmed.0030013 |
0.335 |
|
| 2006 |
Zou H, Hastie T, Tibshirani R. Sparse principal component analysis Journal of Computational and Graphical Statistics. 15: 265-286. DOI: 10.1198/106186006X113430 |
0.327 |
|
| 2006 |
Bair E, Hastie T, Paul D, Tibshirani R. Prediction by supervised principal components Journal of the American Statistical Association. 101: 119-137. DOI: 10.1198/016214505000000628 |
0.322 |
|
| 2006 |
Bullinger L, Dohner K, Stirner C, Rucker FG, Frohling S, Kim YH, Schlenk RF, Tibshirani R, Dohner H, Pollack JR. A FLT3 Gene-Expression Signature Outperforms FLT3 Status in Predicting Clinical Outcome for Patients with Normal Karyotype AML. Blood. 108: 2311-2311. DOI: 10.1182/Blood.V108.11.2311.2311 |
0.319 |
|
| 2006 |
Lacayo NJ, O’Brien M, Jain S, Meshinchi S, Yu R, Juric D, Chang MN, Tibshirani R, Ravindranath Y, Weinstein HJ, Sikic BI, Van Houten Dahl G. Gene Expression Profiling Predicts Outcome in De Novo Acute Myeloid Leukemia (AML) with Normal Karyotype: Results of Children’s Oncology Group (COG) Study POG #9421. Blood. 108: 1915-1915. DOI: 10.1182/Blood.V108.11.1915.1915 |
0.337 |
|
| 2005 |
Juric D, Sale S, Hromas RA, Yu R, Wang Y, Duran GE, Tibshirani R, Einhorn LH, Sikic BI. Gene expression profiling differentiates germ cell tumors from other cancers and defines subtype-specific signatures. Proceedings of the National Academy of Sciences of the United States of America. 102: 17763-8. PMID 16306258 DOI: 10.1073/Pnas.0509082102 |
0.317 |
|
| 2005 |
Tabibiazar R, Wagner RA, Ashley EA, King JY, Ferrara R, Spin JM, Sanan DA, Narasimhan B, Tibshirani R, Tsao PS, Efron B, Quertermous T. Signature patterns of gene expression in mouse atherosclerosis and their correlation to human coronary disease. Physiological Genomics. 22: 213-26. PMID 15870398 DOI: 10.1152/Physiolgenomics.00001.2005 |
0.553 |
|
| 2005 |
Taylor J, Tibshirani R, Efron B. The 'miss rate' for the analysis of gene expression data. Biostatistics (Oxford, England). 6: 111-7. PMID 15618531 DOI: 10.1093/Biostatistics/Kxh021 |
0.561 |
|
| 2005 |
Tabibiazar R, Wagner RA, Spin JM, Ashley EA, Narasimhan B, Rubin EM, Efron B, Tsao PS, Tibshirani R, Quertermous T. Mouse strain-specific differences in vascular wall gene expression and their relationship to vascular disease. Arteriosclerosis, Thrombosis, and Vascular Biology. 25: 302-8. PMID 15550693 DOI: 10.1161/01.Atv.0000151372.86863.A5 |
0.507 |
|
| 2005 |
Tibshirani R, Walther G. Cluster Validation by Prediction Strength Journal of Computational and Graphical Statistics. 14: 511-528. DOI: 10.1198/106186005X59243 |
0.301 |
|
| 2005 |
Bullinger L, Bair E, Kranz R, Dohner K, Frohling S, Schlenk RF, Tibshirani R, Dohner H, Pollack JR. Prognostic Gene-Expression Signatures in Adult Acute Myeloid Leukemia with Normal Karyotype. Blood. 106: 756-756. DOI: 10.1182/Blood.V106.11.756.756 |
0.34 |
|
| 2005 |
Sridhar K, Brown PO, Tibshirani R, Jamieson C, Weissman I, Ross DT, Greenberg PL. Differential Gene Expression Profiles in CD34+ Myelodysplastic Syndrome Marrow Cells. Blood. 106: 3424-3424. DOI: 10.1182/Blood.V106.11.3424.3424 |
0.304 |
|
| 2005 |
Lacayo N, Meshinchi S, Raimondi S, Saraiya C, O’Brien M, Yu R, Juric D, Chang M, Willman C, Tibshirani R, Ravindranath Y, Sikic B, Weinstein H, Dahl GVH. Gene Expression Profiling and FLT3 Status Correlate with Outcome in De Novo Acute Myeloid Leukemia (AML) with Normal Karyotype: Results of Children’s Oncology Group (COG) Study POG #9421. Blood. 106: 2372-2372. DOI: 10.1182/Blood.V106.11.2372.2372 |
0.328 |
|
| 2005 |
Tibshirani R, Saunders M, Rosset S, Zhu J, Knight K. Sparsity and smoothness via the fused lasso Journal of the Royal Statistical Society: Series B (Statistical Methodology). 67: 91-108. DOI: 10.1111/J.1467-9868.2005.00490.X |
0.314 |
|
| 2004 |
Hastie T, Tibshirani R. Efficient quadratic regularization for expression arrays. Biostatistics (Oxford, England). 5: 329-40. PMID 15208198 DOI: 10.1093/Biostatistics/Kxh010 |
0.338 |
|
| 2004 |
Lossos IS, Czerwinski DK, Alizadeh AA, Wechser MA, Tibshirani R, Botstein D, Levy R. Prediction of survival in diffuse large-B-cell lymphoma based on the expression of six genes. The New England Journal of Medicine. 350: 1828-37. PMID 15115829 DOI: 10.1056/Nejmoa032520 |
0.328 |
|
| 2004 |
Bair E, Tibshirani R. Semi-supervised methods to predict patient survival from gene expression data. Plos Biology. 2: E108. PMID 15094809 DOI: 10.1371/Journal.Pbio.0020108 |
0.348 |
|
| 2004 |
Munagala K, Tibshirani R, Brown PO. Cancer characterization and feature set extraction by discriminative margin clustering. Bmc Bioinformatics. 5: 21. PMID 15070405 DOI: 10.1186/1471-2105-5-21 |
0.315 |
|
| 2004 |
Zhao H, Langerød A, Ji Y, Nowels KW, Nesland JM, Tibshirani R, Bukholm IK, Kåresen R, Botstein D, Børresen-Dale AL, Jeffrey SS. Different gene expression patterns in invasive lobular and ductal carcinomas of the breast. Molecular Biology of the Cell. 15: 2523-36. PMID 15034139 DOI: 10.1091/Mbc.E03-11-0786 |
0.324 |
|
| 2004 |
Efron B, Hastie T, Johnstone I, Tibshirani R, Ishwaran H, Knight K, Loubes JM, Massart P, Madigan D, Ridgeway G, Rosset S, Zhu JI, Stine RA, Turlach BA, Weisberg S. Least angle regression Annals of Statistics. 32: 407-499. DOI: 10.1214/009053604000000067 |
0.578 |
|
| 2004 |
Bullinger L, Scholl C, Bair E, Dohner K, Frohling S, Schlenk RF, Tibshirani R, Dohner H, Pollack JR. Identification of Distinct inv(16) Subclasses in Adult Acute Myeloid Leukemia Based on Gene Expression Profiling. Blood. 104: 2037-2037. DOI: 10.1182/Blood.V104.11.2037.2037 |
0.338 |
|
| 2003 |
Storey JD, Tibshirani R. Statistical significance for genomewide studies. Proceedings of the National Academy of Sciences of the United States of America. 100: 9440-5. PMID 12883005 DOI: 10.1073/Pnas.1530509100 |
0.303 |
|
| 2003 |
Sorlie T, Tibshirani R, Parker J, Hastie T, Marron JS, Nobel A, Deng S, Johnsen H, Pesich R, Geisler S, Demeter J, Perou CM, Lønning PE, Brown PO, Børresen-Dale AL, et al. Repeated observation of breast tumor subtypes in independent gene expression data sets. Proceedings of the National Academy of Sciences of the United States of America. 100: 8418-23. PMID 12829800 DOI: 10.1073/Pnas.0932692100 |
0.304 |
|
| 2003 |
Tibshirani R, Hastie T, Narasimhan B, Chu G. Class Prediction by Nearest Shrunken Centroids, with Applications to DNA Microarrays Statistical Science. 18: 104-117. DOI: 10.1214/Ss/1056397488 |
0.332 |
|
| 2003 |
Bair E, Tibshirani R. Machine learning methods applied to DNA microarray data can improve the diagnosis of cancer Acm Sigkdd Explorations Newsletter. 5: 48-55. DOI: 10.1145/980972.980980 |
0.304 |
|
| 2002 |
Efron B, Tibshirani R. Empirical bayes methods and false discovery rates for microarrays. Genetic Epidemiology. 23: 70-86. PMID 12112249 DOI: 10.1002/Gepi.1124 |
0.572 |
|
| 2002 |
Tibshirani R, Hastie T, Narasimhan B, Chu G. Diagnosis of multiple cancer types by shrunken centroids of gene expression. Proceedings of the National Academy of Sciences of the United States of America. 99: 6567-72. PMID 12011421 DOI: 10.1073/Pnas.082099299 |
0.35 |
|
| 2001 |
Sørlie T, Perou CM, Tibshirani R, Aas T, Geisler S, Johnsen H, Hastie T, Eisen MB, van de Rijn M, Jeffrey SS, Thorsen T, Quist H, Matese JC, Brown PO, Botstein D, et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proceedings of the National Academy of Sciences of the United States of America. 98: 10869-74. PMID 11553815 DOI: 10.1073/Pnas.191367098 |
0.307 |
|
| 2001 |
Lossos IS, Jones CD, Warnke R, Natkunam Y, Kaizer H, Zehnder JL, Tibshirani R, Levy R. Expression of a single gene, BCL-6, strongly predicts survival in patients with diffuse large B-cell lymphoma. Blood. 98: 945-51. PMID 11493437 DOI: 10.1182/Blood.V98.4.945 |
0.311 |
|
| 2001 |
Troyanskaya O, Cantor M, Sherlock G, Brown P, Hastie T, Tibshirani R, Botstein D, Altman RB. Missing value estimation methods for DNA microarrays Bioinformatics. 17: 520-525. PMID 11395428 DOI: 10.1093/Bioinformatics/17.6.520 |
0.358 |
|
| 2001 |
Tusher VG, Tibshirani R, Chu G. Significance analysis of microarrays applied to the ionizing radiation response. Proceedings of the National Academy of Sciences of the United States of America. 98: 5116-21. PMID 11309499 DOI: 10.1073/Pnas.091062498 |
0.312 |
|
| 2001 |
Hastie T, Tibshirani R, Botstein D, Brown P. Supervised harvesting of expression trees Genome Biology. 2: RESEARCH0003. PMID 11178280 DOI: 10.1186/Gb-2001-2-1-Research0003 |
0.348 |
|
| 2001 |
Efron B, Tibshirani R, Storey JD, Tusher V. Empirical Bayes Analysis of a Microarray Experiment Journal of the American Statistical Association. 96: 1151-1160. DOI: 10.1198/016214501753382129 |
0.576 |
|
| 2001 |
Tibshirani R, Walther G, Hastie T. Estimating the number of clusters in a data set via the gap statistic Journal of the Royal Statistical Society: Series B (Statistical Methodology). 63: 411-423. DOI: 10.1111/1467-9868.00293 |
0.3 |
|
| 2000 |
Hastie T, Tibshirani R, Eisen MB, Alizadeh A, Levy R, Staudt L, Chan WC, Botstein D, Brown P. 'Gene shaving' as a method for identifying distinct sets of genes with similar expression patterns. Genome Biology. 1: RESEARCH0003. PMID 11178228 DOI: 10.1186/Gb-2000-1-2-Research0003 |
0.334 |
|
| 2000 |
Friedman J, Hastie T, Tibshirani R. Additive Logistic Regression : A Statistical View of Boosting Annals of Statistics. 28: 337-407. DOI: 10.1214/Aos/1016218223 |
0.337 |
|
| 1999 |
Ennis M, Hinton G, Naylor D, Revow M, Tibshirani R. A comparison of statistical learning methods on the Gusto database. Statistics in Medicine. 17: 2501-8. PMID 9819841 DOI: 10.1002/(Sici)1097-0258(19981115)17:21<2501::Aid-Sim938>3.0.Co;2-M |
0.315 |
|
| 1999 |
Tibshirani R, Knight K. The Covariance Inflation Criterion for Adaptive Model Selection Journal of the Royal Statistical Society: Series B (Statistical Methodology). 61: 529-546. DOI: 10.1111/1467-9868.00191 |
0.311 |
|
| 1999 |
Tibshirani R, Knight K. Model Search by Bootstrap “Bumping” Journal of Computational and Graphical Statistics. 8: 671-686. DOI: 10.1080/10618600.1999.10474842 |
0.306 |
|
| 1998 |
Berhane K, Tibshirani RJ. Generalized additive models for longitudinal data Canadian Journal of Statistics. 26: 517-535. DOI: 10.2307/3315715 |
0.306 |
|
| 1998 |
Hastie T, Tibshirani R. Classification by pairwise coupling The Annals of Statistics. 26: 451-471. DOI: 10.1214/Aos/1028144844 |
0.311 |
|
| 1998 |
Efron B, Tibshirani R. The problem of regions Annals of Statistics. 26: 1687-1718. DOI: 10.1214/Aos/1024691353 |
0.572 |
|
| 1997 |
Tibshirani R. The lasso method for variable selection in the Cox model. Statistics in Medicine. 16: 385-95. PMID 9044528 DOI: 10.1002/(Sici)1097-0258(19970228)16:4<385::Aid-Sim380>3.0.Co;2-3 |
0.325 |
|
| 1997 |
Efron B, Tibshirani R. Improvements on cross-validation: The .632+ bootstrap method Journal of the American Statistical Association. 92: 548-560. DOI: 10.1080/01621459.1997.10474007 |
0.558 |
|
| 1996 |
Efron B, Tibshirani R. Using specially designed exponential families for density estimation Annals of Statistics. 24: 2431-2461. DOI: 10.1214/Aos/1032181161 |
0.525 |
|
| 1996 |
Tibshirani R. A Comparison of Some Error Estimates for Neural Network Models Neural Computation. 8: 152-163. DOI: 10.1162/Neco.1996.8.1.152 |
0.302 |
|
| 1996 |
Tibshirani R. Regression Shrinkage and Selection Via the Lasso Journal of the Royal Statistical Society: Series B (Methodological). 58: 267-288. DOI: 10.1111/J.2517-6161.1996.Tb02080.X |
0.323 |
|
| 1996 |
Leblanc M, Tibshirani R. Combining Estimates in Regression and Classification Journal of the American Statistical Association. 91: 1641-1650. DOI: 10.1080/01621459.1996.10476733 |
0.332 |
|
| 1995 |
Hastie T, Buja A, Tibshirani R. Penalized Discriminant Analysis The Annals of Statistics. 23: 73-102. DOI: 10.1214/Aos/1176324456 |
0.326 |
|
| 1994 |
Tibshirani R, Wasserman L. Some aspects of the reparametrization of statistical models Canadian Journal of Statistics. 22: 163-173. DOI: 10.2307/3315831 |
0.529 |
|
| 1994 |
Buckland ST, Efron B, Tibshirani RJ. An Introduction to the Bootstrap. Biometrics. 50: 890. DOI: 10.2307/2532810 |
0.522 |
|
| 1994 |
Kimber A, Efron B, Tibshirani RJ. An Introduction to the Bootstrap. The Statistician. 43: 600. DOI: 10.2307/2348146 |
0.467 |
|
| 1994 |
Simonoff JS, Efron B, Tibshirani RJ, Hjorth JSU. An Introduction to the Bootstrap. Journal of the American Statistical Association. 89: 1559. DOI: 10.2307/2291020 |
0.522 |
|
| 1993 |
Hastie T, Tibshirani R. Varying-Coefficient Models Journal of the Royal Statistical Society: Series B (Methodological). 55: 757-779. DOI: 10.1111/J.2517-6161.1993.Tb01939.X |
0.309 |
|
| 1992 |
Hastie T, Sleeper L, Tibshirani R. Flexible covariate effects in the proportional hazards model. Breast Cancer Research and Treatment. 22: 241-50. PMID 1391990 DOI: 10.1007/Bf01840837 |
0.305 |
|
| 1992 |
Tibshirani R, LeBlanc M. A Strategy for Binary Description and Classification Journal of Computational and Graphical Statistics. 1: 3-20. DOI: 10.1080/10618600.1992.10474573 |
0.323 |
|
| 1991 |
Efron B, Tibshirani R. Statistical data analysis in the computer age Science. 253: 390-395. DOI: 10.1126/Science.253.5018.390 |
0.574 |
|
| 1990 |
Hastie T, Tibshirani R. Exploring the Nature of Covariate Effects in the Proportional Hazards Model Biometrics. 46: 1005. DOI: 10.2307/2532444 |
0.302 |
|
| 1990 |
McCullagh P, Tibshirani R. A Simple Method for the Adjustment of Profile Likelihoods Journal of the Royal Statistical Society: Series B (Methodological). 52: 325-344. DOI: 10.1111/J.2517-6161.1990.Tb01790.X |
0.33 |
|
| 1989 |
Buja A, Hastie T, Tibshirani R. Linear Smoothers and Additive Models The Annals of Statistics. 17: 453-510. DOI: 10.1214/Aos/1176347115 |
0.313 |
|
| 1986 |
Efron B, Tibshirani R. Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy Statistical Science. 1: 54-75. DOI: 10.1214/Ss/1177013815 |
0.565 |
|
| 1985 |
Efron B, Tibshirani R. The Bootstrap Method for Assessing Statistical Accuracy Behaviormetrika. 12: 1-35. DOI: 10.2333/Bhmk.12.17_1 |
0.564 |
|
| 1984 |
Friedman J, Tibshirani R. The Monotone Smoothing of Scatterplots Technometrics. 26: 243-250. DOI: 10.1080/00401706.1984.10487961 |
0.304 |
|
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