| Year |
Citation |
Score |
| 2023 |
Olivares RJ, Rao A, Morris JS, Baladandayuthapani V. Integrative Analysis of Multi-modal Correlated Imaging-Genomics Data in Glioblastoma. Ieee International Workshop On Genomic Signal Processing and Statistics : [Proceedings]. Ieee International Workshop On Genomic Signal Processing and Statistics. 2013: 5-8. PMID 37016714 DOI: 10.1109/GENSIPS.2013.6735914 |
0.551 |
|
| 2022 |
Desai N, Morris J, Baladandayuthapani V. NETCELLMATCH: MULTISCALE NETWORK-BASED MATCHING OF CANCER CELL LINES TO PATIENTS USING GRAPHICAL WAVELETS. Chemistry & Biodiversity. PMID 36279370 DOI: 10.1002/cbdv.202200746 |
0.488 |
|
| 2020 |
Yang H, Baladandayuthapani V, Rao AUK, Morris JS. Quantile Function on Scalar Regression Analysis for Distributional Data. Journal of the American Statistical Association. 115: 90-106. PMID 32981991 DOI: 10.1080/01621459.2019.1609969 |
0.525 |
|
| 2020 |
Gates EDH, Lin JS, Weinberg JS, Prabhu SS, Hamilton J, Hazle JD, Fuller GN, Baladandayuthapani V, Fuentes DT, Schellingerhout D. Imaging-Based Algorithm for the Local Grading of Glioma. Ajnr. American Journal of Neuroradiology. PMID 32029466 DOI: 10.3174/Ajnr.A6405 |
0.314 |
|
| 2020 |
Ha MJ, Stingo FC, Baladandayuthapani V. Bayesian Structure Learning in Multilayered Genomic Networks Journal of the American Statistical Association. 1-14. DOI: 10.1080/01621459.2020.1775611 |
0.333 |
|
| 2019 |
Zhang Y, Morris JS, Aerry SN, Rao AUK, Baladandayuthapani V. RADIO-IBAG: RADIOMICS-BASED INTEGRATIVE BAYESIAN ANALYSIS OF MULTIPLATFORM GENOMIC DATA. The Annals of Applied Statistics. 13: 1957-1988. PMID 33224404 DOI: 10.1214/19-aoas1238 |
0.543 |
|
| 2019 |
Das P, Peterson CB, Do KA, Akbani R, Baladandayuthapani V. NExUS: Bayesian simultaneous network estimation across unequal sample sizes. Bioinformatics (Oxford, England). PMID 31504175 DOI: 10.1093/Bioinformatics/Btz636 |
0.314 |
|
| 2019 |
Maity AK, Bhattacharya A, Mallick BK, Baladandayuthapani V. Bayesian Data Integration and Variable Selection for Pan-Cancer Survival Prediction using Protein Expression Data. Biometrics. PMID 31393003 DOI: 10.1111/Biom.13132 |
0.6 |
|
| 2019 |
Lee W, Miranda MF, Rausch P, Baladandayuthapani V, Fazio M, Downs JC, Morris JS. Bayesian Semiparametric Functional Mixed Models for Serially Correlated Functional Data, with Application to Glaucoma Data. Journal of the American Statistical Association. 114: 495-513. PMID 31235987 DOI: 10.1080/01621459.2018.1476242 |
0.521 |
|
| 2019 |
Ni Y, Stingo FC, Ha MJ, Akbani R, Baladandayuthapani V. Bayesian Hierarchical Varying-sparsity Regression Models with Application to Cancer Proteogenomics. Journal of the American Statistical Association. 114: 48-60. PMID 31178611 DOI: 10.1080/01621459.2018.1434529 |
0.397 |
|
| 2019 |
Zhang Y, Morris JS, Aerry SN, Rao AUK, Baladandayuthapani V. Radio-iBAG: Radiomics-based integrative Bayesian analysis of multiplatform genomic data The Annals of Applied Statistics. 13: 1957-1988. DOI: 10.1214/19-Aoas1238 |
0.553 |
|
| 2019 |
Yang H, Baladandayuthapani V, Rao AU, Morris JS. Quantile Function on Scalar Regression Analysis for Distributional Data Journal of the American Statistical Association. 115: 90-106. DOI: 10.1080/01621459.2019.1609969 |
0.351 |
|
| 2018 |
Bharath K, Kurtek S, Rao A, Baladandayuthapani V. Radiologic image-based statistical shape analysis of brain tumours. Journal of the Royal Statistical Society. Series C, Applied Statistics. 67: 1357-1378. PMID 30420787 DOI: 10.1111/Rssc.12272 |
0.364 |
|
| 2018 |
Ha MJ, Banerjee S, Akbani R, Liang H, Mills GB, Do KA, Baladandayuthapani V. Personalized Integrated Network Modeling of the Cancer Proteome Atlas. Scientific Reports. 8: 14924. PMID 30297783 DOI: 10.1038/S41598-018-32682-X |
0.392 |
|
| 2018 |
Elhalawani H, Lin TA, Volpe S, Mohamed ASR, White AL, Zafereo J, Wong AJ, Berends JE, AboHashem S, Williams B, Aymard JM, Kanwar A, Perni S, Rock CD, Cooksey L, ... ... Baladandayuthapani V, et al. Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges. Frontiers in Oncology. 8: 294. PMID 30175071 DOI: 10.3389/Fonc.2018.00294 |
0.551 |
|
| 2018 |
Kundu S, Cheng Y, Shin M, Manyam G, Mallick BK, Baladandayuthapani V. Bayesian variable selection with graphical structure learning: Applications in integrative genomics. Plos One. 13: e0195070. PMID 30059495 DOI: 10.1371/Journal.Pone.0195070 |
0.455 |
|
| 2018 |
Davenport CA, Maity A, Baladandayuthapani V. Functional interaction-based nonlinear models with application to multiplatform genomics data. Statistics in Medicine. PMID 29737021 DOI: 10.1002/Sim.7671 |
0.553 |
|
| 2018 |
Zhang X, Lee HC, Shirazi F, Baladandayuthapani V, Lin H, Kuiatse I, Wang H, Jones RJ, Berkova Z, Singh RK, Lu J, Qian Y, Raina K, Coleman KG, Crews CM, et al. Protein targeting chimeric molecules specific for bromodomain and extra-terminal motif family proteins are active against pre-clinical models of multiple myeloma. Leukemia. PMID 29581547 DOI: 10.1038/S41375-018-0044-X |
0.316 |
|
| 2018 |
Ni Y, Stingo FC, Baladandayuthapani V. Bayesian Graphical Regression Journal of the American Statistical Association. 114: 184-197. DOI: 10.1080/01621459.2017.1389739 |
0.33 |
|
| 2017 |
Morris JS, Baladandayuthapani V. Rejoinder to statistical contributions to bioinformatics: Design, modelling, structure learning and Integration. Statistical Modelling. 17: 338-357. PMID 30034293 DOI: 10.1177/1471082X17728576 |
0.495 |
|
| 2017 |
Yu K, Zhang Y, Yu Y, Huang C, Liu R, Li T, Yang L, Morris JS, Baladandayuthapani V, Zhu H. Radiomic analysis in prediction of Human Papilloma Virus status. Clinical and Translational Radiation Oncology. 7: 49-54. PMID 29594229 DOI: 10.1016/J.Ctro.2017.10.001 |
0.498 |
|
| 2017 |
Wang H, Baladandayuthapani V, Wang Z, Lin H, Berkova Z, Davis RE, Yang L, Orlowski RZ. Truncated protein tyrosine phosphatase receptor type O suppresses AKT signaling through IQ motif containing GTPase activating protein 1 and confers sensitivity to bortezomib in multiple myeloma. Oncotarget. 8: 113858-113873. PMID 29371952 DOI: 10.18632/Oncotarget.23017 |
0.322 |
|
| 2017 |
Zhu B, Song N, Shen R, Arora A, Machiela MJ, Song L, Landi MT, Ghosh D, Chatterjee N, Baladandayuthapani V, Zhao H. Integrating Clinical and Multiple Omics Data for Prognostic Assessment across Human Cancers. Scientific Reports. 7: 16954. PMID 29209073 DOI: 10.1038/S41598-017-17031-8 |
0.354 |
|
| 2017 |
Class CA, Ha MJ, Baladandayuthapani V, Do KA. iDINGO - Integrative Differential Network Analysis in Genomics with Shiny Application. Bioinformatics (Oxford, England). PMID 29194470 DOI: 10.1093/Bioinformatics/Btx750 |
0.339 |
|
| 2017 |
Morris JS, Baladandayuthapani V. Statistical Contributions to Bioinformatics: Design, Modeling, Structure Learning, and Integration. Statistical Modelling. 17: 245-289. PMID 29129969 DOI: 10.1177/1471082X17698255 |
0.56 |
|
| 2017 |
Kim S, Baladandayuthapani V, Lee JJ. Prediction-Oriented Marker Selection (PROMISE): With Application to High-Dimensional Regression. Statistics in Biosciences. 9: 217-245. PMID 28785367 DOI: 10.1007/S12561-016-9169-5 |
0.316 |
|
| 2017 |
Bhadra A, Rao A, Baladandayuthapani V. Inferring network structure in non-normal and mixed discrete-continuous genomic data. Biometrics. PMID 28437848 DOI: 10.1111/Biom.12711 |
0.416 |
|
| 2017 |
Bharath K, Kambadur P, Dey DK, Rao A, Baladandayuthapani V. Statistical Tests for Large Tree-Structured Data Journal of the American Statistical Association. 112: 1733-1743. DOI: 10.1080/01621459.2016.1240081 |
0.346 |
|
| 2017 |
Ni Y, Stingo FC, Baladandayuthapani V. Sparse Multi-Dimensional Graphical Models: A Unified Bayesian Framework Journal of the American Statistical Association. 112: 779-793. DOI: 10.1080/01621459.2016.1167694 |
0.386 |
|
| 2017 |
Zhang Y, Linder MH, Shojaie A, Ouyang Z, Shen R, Baggerly KA, Baladandayuthapani V, Zhao H. Dissecting Pathway Disturbances Using Network Topology and Multi-platform Genomics Data Statistics in Biosciences. 10: 86-106. DOI: 10.1007/S12561-017-9193-0 |
0.372 |
|
| 2016 |
Zhang L, Baladandayuthapani V, Zhu H, Baggerly KA, Majewski T, Czerniak BA, Morris JS. Functional CAR models for large spatially correlated functional datasets. Journal of the American Statistical Association. 111: 772-786. PMID 28018013 DOI: 10.1080/01621459.2015.1042581 |
0.528 |
|
| 2016 |
Saha A, Banerjee S, Kurtek S, Narang S, Lee J, Rao G, Martinez J, Bharath K, Rao AU, Baladandayuthapani V. DEMARCATE: Density-based magnetic resonance image clustering for assessing tumor heterogeneity in cancer. Neuroimage. Clinical. 12: 132-43. PMID 27408798 DOI: 10.1016/J.Nicl.2016.05.012 |
0.334 |
|
| 2016 |
Zoh RS, Mallick B, Ivanov I, Baladandayuthapani V, Manyam G, Chapkin RS, Lampe JW, Carroll RJ. PCAN: Probabilistic correlation analysis of two non-normal data sets. Biometrics. PMID 27037601 DOI: 10.1111/Biom.12516 |
0.527 |
|
| 2016 |
Guha S, Baladandayuthapani V. A nonparametric Bayesian technique for high-dimensional regression Electronic Journal of Statistics. 10: 3374-3424. DOI: 10.1214/16-Ejs1184 |
0.334 |
|
| 2015 |
Azadeh S, Hobbs BP, Ma L, Nielsen DA, Moeller FG, Baladandayuthapani V. Integrative Bayesian Analysis of Neuroimaging-Genetic Data with Application to Cocaine Dependence. Neuroimage. PMID 26484829 DOI: 10.1016/J.Neuroimage.2015.10.033 |
0.337 |
|
| 2015 |
Gregory KB, Carroll RJ, Baladandayuthapani V, Lahiri SN. A Two-Sample Test for Equality of Means in High Dimension. Journal of the American Statistical Association. 110: 837-849. PMID 26279594 DOI: 10.1080/01621459.2014.934826 |
0.475 |
|
| 2015 |
Ha MJ, Baladandayuthapani V, Do KA. DINGO: differential network analysis in genomics. Bioinformatics (Oxford, England). 31: 3413-20. PMID 26148744 DOI: 10.1093/Bioinformatics/Btv406 |
0.326 |
|
| 2015 |
Dai B, Yan S, Lara-Guerra H, Kawashima H, Sakai R, Jayachandran G, Majidi M, Mehran R, Wang J, Bekele BN, Baladandayuthapani V, Yoo SY, Wang Y, Ying J, Meng F, et al. Exogenous Restoration of TUSC2 Expression Induces Responsiveness to Erlotinib in Wildtype Epidermal Growth Factor Receptor (EGFR) Lung Cancer Cells through Context Specific Pathways Resulting in Enhanced Therapeutic Efficacy. Plos One. 10: e0123967. PMID 26053020 DOI: 10.1371/Journal.Pone.0123967 |
0.305 |
|
| 2015 |
Ha MJ, Baladandayuthapani V, Do KA. Prognostic gene signature identification using causal structure learning: applications in kidney cancer. Cancer Informatics. 14: 23-35. PMID 25861215 DOI: 10.4137/Cin.S14873 |
0.359 |
|
| 2015 |
Ni Y, Stingo FC, Baladandayuthapani V. Bayesian nonlinear model selection for gene regulatory networks. Biometrics. 71: 585-95. PMID 25854759 DOI: 10.1111/Biom.12309 |
0.331 |
|
| 2015 |
Gregory KB, Carroll RJ, Baladandayuthapani V, Lahiri SN. A Two-Sample Test for Equality of Means in High Dimension Journal of the American Statistical Association. 110: 837-849. DOI: 10.1080/01621459.2014.934826 |
0.326 |
|
| 2014 |
Baladandayuthapani V, Talluri R, Ji Y, Coombes KR, Lu Y, Hennessy BT, Davies MA, Mallick BK. BAYESIAN SPARSE GRAPHICAL MODELS FOR CLASSIFICATION WITH APPLICATION TO PROTEIN EXPRESSION DATA. The Annals of Applied Statistics. 8: 1443-1468. PMID 26246866 DOI: 10.1214/14-Aoas722 |
0.674 |
|
| 2014 |
Gregory KB, Momin AA, Coombes KR, Baladandayuthapani V. Latent Feature Decompositions for Integrative Analysis of Multi-Platform Genomic Data. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 11: 984-94. PMID 26146492 DOI: 10.1109/Tcbb.2014.2325035 |
0.427 |
|
| 2014 |
Zhang L, Baladandayuthapani V, Mallick BK, Manyam GC, Thompson PA, Bondy ML, Do KA. Bayesian hierarchical structured variable selection methods with application to MIP studies in breast cancer. Journal of the Royal Statistical Society. Series C, Applied Statistics. 63: 595-620. PMID 25705056 DOI: 10.1111/Rssc.12053 |
0.356 |
|
| 2014 |
Zhang L, Morris JS, Zhang J, Orlowski RZ, Baladandayuthapani V. Bayesian joint selection of genes and pathways: applications in multiple myeloma genomics. Cancer Informatics. 13: 113-23. PMID 25520554 DOI: 10.4137/Cin.S13787 |
0.547 |
|
| 2014 |
Guha S, Ji Y, Baladandayuthapani V. Bayesian disease classification using copy number data. Cancer Informatics. 13: 83-91. PMID 25336897 DOI: 10.4137/Cin.S13785 |
0.38 |
|
| 2014 |
Ni Y, Stingo FC, Baladandayuthapani V. Integrative bayesian network analysis of genomic data. Cancer Informatics. 13: 39-48. PMID 25288878 DOI: 10.4137/Cin.S13786 |
0.415 |
|
| 2014 |
Jiang H, An L, Baladandayuthapani V, Auer PL. Classification, predictive modelling, and statistical analysis of cancer data (a). Cancer Informatics. 13: 1-3. PMID 25288874 DOI: 10.4137/Cin.S19328 |
0.369 |
|
| 2014 |
Talluri R, Baladandayuthapani V, Mallick BK. Bayesian sparse graphical models and their mixtures. Stat. 3: 109-125. PMID 24948842 DOI: 10.1002/sta4.49 |
0.639 |
|
| 2014 |
Bailey AM, Zhan L, Maru D, Shureiqi I, Pickering CR, Kiriakova G, Izzo J, He N, Wei C, Baladandayuthapani V, Liang H, Kopetz S, Powis G, Guo GL. FXR silencing in human colon cancer by DNA methylation and KRAS signaling. American Journal of Physiology. Gastrointestinal and Liver Physiology. 306: G48-58. PMID 24177031 DOI: 10.1152/Ajpgi.00234.2013 |
0.313 |
|
| 2014 |
Baladandayuthapani V, Talluri R, Ji Y, Coombes KR, Lu Y, Hennessy BT, Davies MA, Mallick BK. Bayesian sparse graphical models for classification with application to protein expression data Annals of Applied Statistics. 8: 1443-1468. DOI: 10.1214/14-AOAS722 |
0.623 |
|
| 2014 |
Zhang X, Baladandayuthapani V, Lin HY, Mulligan G, Li B, Esseltine D, Qi L, Xu J, Hunziker W, Barlogie B, Usmani SZ, Zhang Q, Crowley J, Hoering A, Li B, et al. Studies of the Proteasome Inhibitor Sensitivity Modulator Tight Junction Protein 1 Highlight a Role for Signaling through the Epidermal Growth Factor Receptor in Determining Proteasome Capacity Blood. 124: 3414-3414. DOI: 10.1182/Blood.V124.21.3414.3414 |
0.308 |
|
| 2014 |
Wang H, Baladandayuthapani V, Lin HY, Wang X, Li B, Zhang X, Kuiatse I, Wang H, Gu D, Zhong L, Ma W, Davis RE, Orlowski RZ. Mucin 20 (MUC20) Modulates Proteasome Assembly Chaperones through the c-MET Pathway and Is a Biomarker of Proteasome Inhibitor Sensitivity in Myeloma Blood. 124: 274-274. DOI: 10.1182/Blood.V124.21.274.274 |
0.318 |
|
| 2013 |
Wang W, Baladandayuthapani V, Holmes CC, Do KA. Integrative network-based Bayesian analysis of diverse genomics data. Bmc Bioinformatics. 14: S8. PMID 24267288 DOI: 10.1186/1471-2105-14-S13-S8 |
0.372 |
|
| 2013 |
Jennings EM, Morris JS, Carroll RJ, Manyam GC, Baladandayuthapani V. Bayesian methods for expression-based integration of various types of genomics data. Eurasip Journal On Bioinformatics & Systems Biology. 2013: 13. PMID 24053265 DOI: 10.1186/1687-4153-2013-13 |
0.648 |
|
| 2013 |
Srivastava S, Wang W, Manyam G, Ordonez C, Baladandayuthapani V. Integrating multi-platform genomic data using hierarchical Bayesian relevance vector machines. Eurasip Journal On Bioinformatics & Systems Biology. 2013: 9. PMID 23809014 DOI: 10.1186/1687-4153-2013-9 |
0.398 |
|
| 2013 |
Wang W, Baladandayuthapani V, Morris JS, Broom BM, Manyam G, Do KA. iBAG: integrative Bayesian analysis of high-dimensional multiplatform genomics data. Bioinformatics (Oxford, England). 29: 149-59. PMID 23142963 DOI: 10.1093/Bioinformatics/Bts655 |
0.615 |
|
| 2013 |
Wang H, Baladandayuthapani V, Wang Z, Zhang J, Lin HY, Davis RE, Yang L, Orlowski RZ. Expression Of Truncated Protein Tyrosine Phosphatase, Receptor Type, O (PTPROt) Influences Multiple Myeloma Sensitivity To Bortezomib Through Akt Signaling, and Is a Favorable Clinical Prognostic Factor Blood. 122: 2520-2520. DOI: 10.1182/Blood.V122.21.2520.2520 |
0.358 |
|
| 2013 |
Zhang X, Baladandayuthapani V, Lin HY, Barlogie B, Usmani SZ, Yang L, Orlowski RZ. Identification Of Tight Junction Protein (TJP)-1 As a Modulator and Biomarker Of Proteasome Inhibitor Sensitivity In Multiple Myeloma Blood. 122: 123-123. DOI: 10.1182/Blood.V122.21.123.123 |
0.349 |
|
| 2013 |
Olivares RJ, Rao A, Rao G, Morris JS, Baladandayuthapani V. Integrative analysis of multi-modal correlated imaging-genomics data in glioblastoma Proceedings - Ieee International Workshop On Genomic Signal Processing and Statistics. 5-8. DOI: 10.1109/GENSIPS.2013.6735914 |
0.496 |
|
| 2012 |
Dorkhom SJ, Zaman S, Thomas SK, Alexanian R, Shah JJ, Weber DM, Wang M, Anderson ML, Baladandayuthapani V, Lin YH, Fu M, Stellrecht CM, de Partovi CM, Gandhi VV, Orlowski RZ. Phase II Study of the c-Met Inhibitor ARQ 197 (Tivantinib) in Patients with Relapsed Multiple Myeloma. Blood. 120: 2976-2976. DOI: 10.1182/Blood.V120.21.2976.2976 |
0.315 |
|
| 2012 |
Jennings EM, Morris JS, Carroll RJ, Manyam GC, Baladandayuthapani V. Hierarchical Bayesian methods for integration of various types of genomics data Proceedings - Ieee International Workshop On Genomic Signal Processing and Statistics. 5-8. DOI: 10.1109/GENSIPS.2012.6507713 |
0.592 |
|
| 2012 |
Hrafnkelsson B, Morris JS, Baladandayuthapani V. Spatial modeling of annual minimum and maximum temperatures in Iceland Meteorology and Atmospheric Physics. 116: 43-61. DOI: 10.1007/s00703-010-0101-0 |
0.409 |
|
| 2011 |
Morris JS, Baladandayuthapani V, Herrick RC, Sanna P, Gutstein H. AUTOMATED ANALYSIS OF QUANTITATIVE IMAGE DATA USING ISOMORPHIC FUNCTIONAL MIXED MODELS, WITH APPLICATION TO PROTEOMICS DATA. The Annals of Applied Statistics. 5: 894-923. PMID 22408711 DOI: 10.1214/10-Aoas407 |
0.553 |
|
| 2011 |
Thompson PA, Brewster AM, Kim-Anh D, Baladandayuthapani V, Broom BM, Edgerton ME, Hahn KM, Murray JL, Sahin A, Tsavachidis S, Wang Y, Zhang L, Hortobagyi GN, Mills GB, Bondy ML. Selective genomic copy number imbalances and probability of recurrence in early-stage breast cancer. Plos One. 6: e23543. PMID 21858162 DOI: 10.1371/Journal.Pone.0023543 |
0.303 |
|
| 2011 |
Jones RJ, Baladandayuthapani V, Neelapu S, Fayad LE, Romaguera JE, Wang M, Sharma R, Yang D, Orlowski RZ. HDM-2 inhibition suppresses expression of ribonucleotide reductase subunit M2, and synergistically enhances gemcitabine-induced cytotoxicity in mantle cell lymphoma. Blood. 118: 4140-9. PMID 21844567 DOI: 10.1182/Blood-2011-03-340323 |
0.315 |
|
| 2011 |
Bonato V, Baladandayuthapani V, Broom BM, Sulman EP, Aldape KD, Do KA. Bayesian ensemble methods for survival prediction in gene expression data. Bioinformatics (Oxford, England). 27: 359-67. PMID 21148161 DOI: 10.1093/Bioinformatics/Btq660 |
0.375 |
|
| 2010 |
Baladandayuthapani V, Ji Y, Talluri R, Nieto-Barajas LE, Morris JS. Bayesian Random Segmentation Models to Identify Shared Copy Number Aberrations for Array CGH Data. Journal of the American Statistical Association. 105: 1358-1375. PMID 21512611 DOI: 10.1198/Jasa.2010.Ap09250 |
0.721 |
|
| 2010 |
Zhou L, Huang JZ, Martinez JG, Maity A, Baladandayuthapani V, Carroll RJ. Reduced Rank Mixed Effects Models for Spatially Correlated Hierarchical Functional Data. Journal of the American Statistical Association. 105: 390-400. PMID 20396628 DOI: 10.1198/Jasa.2010.Tm08737 |
0.63 |
|
| 2008 |
Baladandayuthapani V, Mallick BK, Young Hong M, Lupton JR, Turner ND, Carroll RJ. Bayesian hierarchical spatially correlated functional data analysis with application to colon carcinogenesis. Biometrics. 64: 64-73. PMID 17608780 DOI: 10.1111/J.1541-0420.2007.00846.X |
0.536 |
|
| 2008 |
Baladandayuthapani V, Mallick BK, Carroll RJ. Spatially adaptive Bayesian penalized regression splines (P-splines) (Journal of Computational and Graphical Statistics (2005) 14, 378-394) Journal of Computational and Graphical Statistics. 17: 515. DOI: 10.1198/106186008X322517 |
0.369 |
|
| 2005 |
Baladandayuthapani V, Mallick BK, Carroll RJ. Spatially Adaptive Bayesian Penalized Regression Splines (P-splines) Journal of Computational and Graphical Statistics. 14: 378-394. DOI: 10.1198/106186005X47345 |
0.491 |
|
| 2005 |
Baladandayuthapani V, Ray S, Mallick BK. Bayesian Methods for DNA Microarray Data Analysis Handbook of Statistics. 25: 713-742. DOI: 10.1016/S0169-7161(05)25024-1 |
0.61 |
|
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