| Year |
Citation |
Score |
| 2020 |
Blenman KR, Spidlen J, Parks DR, Moore W, Treister A, Leif R, Bray C, Goldberg M, Force IDST, Brinkman R. ISAC Probe Tag Dictionary: Standardized Nomenclature for Detection and Visualization Labels Used in Cytometry and Microscopy Imaging. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. PMID 32881392 DOI: 10.1002/Cyto.A.24224 |
0.324 |
|
| 2020 |
Hill AJ, Zhang C, Kusakabe M, Gowing K, Wang X, Brinkman RR, Weng AP, Craig JW. Occurrence of T-cell and NK-cell subsets with less well-recognized phenotypes in peripheral blood submitted for routine flow cytometry analysis. Cytometry. Part B, Clinical Cytometry. PMID 32222062 DOI: 10.1002/Cyto.B.21876 |
0.323 |
|
| 2019 |
Nissen MD, Kusakabe M, Wang X, Simkin G, Gracias D, Tyshchenko K, Hill A, Meskas J, Hung S, Chavez EA, Ennishi D, Aoki T, Sarkozy C, Connors JM, Farinha P, ... ... Brinkman RR, et al. Single Cell Phenotypic Profiling of 27 DLBCL Cases Reveals Marked Intertumoral and Intratumoral Heterogeneity. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. PMID 31637838 DOI: 10.1002/Cyto.A.23919 |
0.325 |
|
| 2019 |
Cossarizza A, Chang HD, Radbruch A, Acs A, Adam D, Adam-Klages S, Agace WW, Aghaeepour N, Akdis M, Allez M, Almeida LN, Alvisi G, Anderson G, Andrä I, Annunziato F, ... ... Brinkman RR, et al. Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition). European Journal of Immunology. 49: 1457-1973. PMID 31633216 DOI: 10.1002/Eji.201970107 |
0.372 |
|
| 2019 |
Brinkman RR. Improving the Rigor and Reproducibility of Flow Cytometry-Based Clinical Research and Trials Through Automated Data Analysis. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. PMID 31515945 DOI: 10.1002/Cyto.A.23883 |
0.334 |
|
| 2019 |
Tighe RM, Redente EF, Yu YR, Herold S, Sperling AI, Curtis JL, Duggan R, Swaminathan S, Nakano H, Zacharias WJ, Janssen WJ, Freeman CM, Brinkman RR, Singer BD, Jakubzick CV, et al. Improving the Quality and Reproducibility of Flow Cytometry in the Lung. An Official American Thoracic Society Workshop Report. American Journal of Respiratory Cell and Molecular Biology. 61: 150-161. PMID 31368812 DOI: 10.1165/Rcmb.2019-0191St |
0.332 |
|
| 2019 |
Wang S, Brinkman RR. Data-Driven Flow Cytometry Analysis. Methods in Molecular Biology (Clifton, N.J.). 1989: 245-265. PMID 31077110 DOI: 10.1007/978-1-4939-9454-0_16 |
0.383 |
|
| 2019 |
Montante S, Brinkman RR. Flow cytometry data analysis: Recent tools and algorithms. International Journal of Laboratory Hematology. 41: 56-62. PMID 31069980 DOI: 10.1111/Ijlh.13016 |
0.377 |
|
| 2018 |
Conrad VK, Dubay CJ, Malek M, Brinkman RR, Koguchi Y, Redmond WL. Implementation and Validation of an Automated Flow Cytometry Analysis Pipeline for Human Immune Profiling. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. PMID 30570217 DOI: 10.1002/Cyto.A.23664 |
0.382 |
|
| 2018 |
Ivison S, Malek M, Garcia RV, Broady R, Halpin A, Richaud M, Brant RF, Wang SI, Goupil M, Guan Q, Ashton P, Warren J, Rajab A, Urschel S, Kumar D, ... ... Brinkman RR, et al. A standardized immune phenotyping and automated data analysis platform for multicenter biomarker studies. Jci Insight. 3. PMID 30518691 DOI: 10.1172/Jci.Insight.121867 |
0.401 |
|
| 2018 |
Lux M, Brinkman RR, Chauve C, Laing A, Lorenc A, Abeler-Dörner L, Hammer B. flowLearn: fast and precise identification and quality checking of cell populations in flow cytometry. Bioinformatics (Oxford, England). 34: 2245-2253. PMID 29462241 DOI: 10.1093/Bioinformatics/Bty082 |
0.38 |
|
| 2018 |
Wang X, Gracias D, Nissen M, Chavez E, Segat GC, Kusakabe M, Simkin G, Grinek S, Aoki T, Nguyen ATT, Gascoyne RD, Scott DW, Brinkman R, Steidl C, Weng AP. Single-Cell Profiling Reveals Distinct Tumor Subtypes and Their Associated T-Cell Environments in Follicular Lymphoma Blood. 132: 1577-1577. DOI: 10.1182/Blood-2018-99-114182 |
0.323 |
|
| 2017 |
Rahim A, Meskas J, Drissler S, Yue A, Lorenc A, Laing A, Saran N, White J, Abeler-Dörner L, Hayday A, Brinkman RR. High Throughput Automated Analysis of Big Flow Cytometry Data. Methods (San Diego, Calif.). PMID 29287915 DOI: 10.1016/J.Ymeth.2017.12.015 |
0.402 |
|
| 2017 |
Cossarizza A, Chang HD, Radbruch A, Andrä I, Annunziato F, Bacher P, Barnaba V, Battistini L, Bauer WM, Baumgart S, Becher B, Beisker W, Berek C, Blanco A, Borsellino G, ... ... Brinkman RR, et al. Guidelines for the use of flow cytometry and cell sorting in immunological studies. European Journal of Immunology. 47: 1584-1797. PMID 29023707 DOI: 10.1002/Eji.201646632 |
0.37 |
|
| 2017 |
Parks DR, El Khettabi F, Chase E, Hoffman RA, Perfetto SP, Spidlen J, Wood JC, Moore WA, Brinkman RR. Evaluating flow cytometer performance with weighted quadratic least squares analysis of LED and multi-level bead data. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. PMID 28160404 DOI: 10.1002/Cyto.A.23052 |
0.322 |
|
| 2016 |
Spidlen J, Brinkman RR. Use FlowRepository to Share Your Clinical Data upon Study Publication. Cytometry. Part B, Clinical Cytometry. PMID 27342384 DOI: 10.1002/Cyto.B.21393 |
0.354 |
|
| 2016 |
Bandrowski A, Brinkman R, Brochhausen M, Brush MH, Bug B, Chibucos MC, Clancy K, Courtot M, Derom D, Dumontier M, Fan L, Fostel J, Fragoso G, Gibson F, Gonzalez-Beltran A, et al. The Ontology for Biomedical Investigations. Plos One. 11: e0154556. PMID 27128319 DOI: 10.1371/Journal.Pone.0154556 |
0.301 |
|
| 2016 |
Fletez-Brant K, Špidlen J, Brinkman RR, Roederer M, Chattopadhyay PK. flowClean: Automated identification and removal of fluorescence anomalies in flow cytometry data. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. PMID 26990501 DOI: 10.1002/Cyto.A.22837 |
0.353 |
|
| 2016 |
Finak G, Langweiler M, Jaimes M, Malek M, Taghiyar J, Korin Y, Raddassi K, Devine L, Obermoser G, Pekalski ML, Pontikos N, Diaz A, Heck S, Villanova F, Terrazzini N, ... ... Brinkman RR, et al. Standardizing Flow Cytometry Immunophenotyping Analysis from the Human ImmunoPhenotyping Consortium. Scientific Reports. 6: 20686. PMID 26861911 DOI: 10.1038/Srep20686 |
0.348 |
|
| 2016 |
Brinkman RR, Aghaeepour N, Finak G, Gottardo R, Mosmann T, Scheuermann RH. Automated analysis of flow cytometry data comes of age. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. 89: 13-5. PMID 26812230 DOI: 10.1002/Cyto.A.22810 |
0.346 |
|
| 2016 |
Wang X, Kusakabe M, Gracias D, Simkin G, Hill A, Kridel R, Meskas J, Scott DW, Steidl C, Gascoyne RD, Brinkman RR, Weng AP. Revealing the Tumor Ecosystem in Follicular Lymphoma By Mass Cytometry Blood. 128: 2939-2939. DOI: 10.1182/Blood.V128.22.2939.2939 |
0.333 |
|
| 2015 |
Aghaeepour N, Chattopadhyay P, Chikina M, Dhaene T, Van Gassen S, Kursa M, Lambrecht BN, Malek M, Qian Y, Qiu P, Saeys Y, Stanton R, Tong D, Vens C, Walkowiak S, ... ... Brinkman RR, et al. A benchmark for evaluation of algorithms for identification of cellular correlates of clinical outcomes. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. PMID 26447924 DOI: 10.1002/Cyto.A.22732 |
0.393 |
|
| 2015 |
Spidlen J, Moore W, Brinkman RR. ISAC's Gating-ML 2.0 data exchange standard for gating description. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. PMID 25976062 DOI: 10.1002/Cyto.A.22690 |
0.315 |
|
| 2015 |
Kvistborg P, Gouttefangeas C, Aghaeepour N, Cazaly A, Chattopadhyay PK, Chan C, Eckl J, Finak G, Hadrup SR, Maecker HT, Maurer D, Mosmann T, Qiu P, Scheuermann RH, Welters MJ, ... ... Brinkman RR, et al. Thinking outside the gate: single-cell assessments in multiple dimensions. Immunity. 42: 591-2. PMID 25902473 DOI: 10.1016/J.Immuni.2015.04.006 |
0.371 |
|
| 2015 |
O'Neill K, Aghaeepour N, Parker J, Hogge D, Karsan A, Dalal B, Brinkman RR. Deep profiling of multitube flow cytometry data. Bioinformatics (Oxford, England). 31: 1623-31. PMID 25600947 DOI: 10.1093/Bioinformatics/Btv008 |
0.346 |
|
| 2015 |
Courtot M, Meskas J, Diehl AD, Droumeva R, Gottardo R, Jalali A, Taghiyar MJ, Maecker HT, McCoy JP, Ruttenberg A, Scheuermann RH, Brinkman RR. flowCL: ontology-based cell population labelling in flow cytometry. Bioinformatics (Oxford, England). 31: 1337-9. PMID 25481008 DOI: 10.1093/Bioinformatics/Btu807 |
0.348 |
|
| 2015 |
Spidlen J, Bray C, Brinkman RR. ISAC's classification results file format. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. 87: 86-8. PMID 25407887 DOI: 10.1002/Cyto.A.22586 |
0.355 |
|
| 2015 |
Malek M, Taghiyar MJ, Chong L, Finak G, Gottardo R, Brinkman RR. flowDensity: reproducing manual gating of flow cytometry data by automated density-based cell population identification. Bioinformatics (Oxford, England). 31: 606-7. PMID 25378466 DOI: 10.1093/Bioinformatics/Btu677 |
0.372 |
|
| 2015 |
Kusakabe M, Wang X, Simkin G, Meskas J, Zhang C, Ennishi D, Kridel R, Boyle M, Chavez E, Hung S, Scott DW, Steidl C, Gascoyne RD, Brinkman RR, Weng AP. Mass Cytometry Based Classification of Inter- and Intra-Tumoral Heterogeneity in Diffuse Large B-Cell Lymphoma Blood. 126: 3908-3908. DOI: 10.1182/Blood.V126.23.3908.3908 |
0.321 |
|
| 2014 |
Rothe K, Lin H, Lin KB, Leung A, Wang HM, Malekesmaeili M, Brinkman RR, Forrest DL, Gorski SM, Jiang X. The core autophagy protein ATG4B is a potential biomarker and therapeutic target in CML stem/progenitor cells. Blood. 123: 3622-34. PMID 24755409 DOI: 10.1182/Blood-2013-07-516807 |
0.305 |
|
| 2014 |
O'Neill K, Jalali A, Aghaeepour N, Hoos H, Brinkman RR. Enhanced flowType/RchyOptimyx: a BioConductor pipeline for discovery in high-dimensional cytometry data. Bioinformatics (Oxford, England). 30: 1329-30. PMID 24407226 DOI: 10.1093/Bioinformatics/Btt770 |
0.362 |
|
| 2014 |
Craig FE, Brinkman RR, Ten Eyck S, Aghaeepour N. Computational analysis optimizes the flow cytometric evaluation for lymphoma. Cytometry. Part B, Clinical Cytometry. 86: 18-24. PMID 24002786 DOI: 10.1002/Cyto.B.21115 |
0.301 |
|
| 2014 |
Aghaeepour N, Brinkman R. Computational analysis of high-dimensional flow cytometric data for diagnosis and discovery. Current Topics in Microbiology and Immunology. 377: 159-75. PMID 23975083 DOI: 10.1007/82_2013_337 |
0.398 |
|
| 2013 |
O'Neill K, Aghaeepour N, Spidlen J, Brinkman R. Flow cytometry bioinformatics. Plos Computational Biology. 9: e1003365. PMID 24363631 DOI: 10.1371/Journal.Pcbi.1003365 |
0.412 |
|
| 2013 |
Villanova F, Di Meglio P, Inokuma M, Aghaeepour N, Perucha E, Mollon J, Nomura L, Hernandez-Fuentes M, Cope A, Prevost AT, Heck S, Maino V, Lord G, Brinkman RR, Nestle FO. Integration of lyoplate based flow cytometry and computational analysis for standardized immunological biomarker discovery. Plos One. 8: e65485. PMID 23843942 DOI: 10.1371/Journal.Pone.0065485 |
0.374 |
|
| 2013 |
Spidlen J, Barsky A, Breuer K, Carr P, Nazaire MD, Hill BA, Qian Y, Liefeld T, Reich M, Mesirov JP, Wilkinson P, Scheuermann RH, Sekaly RP, Brinkman RR. GenePattern flow cytometry suite. Source Code For Biology and Medicine. 8: 14. PMID 23822732 DOI: 10.1186/1751-0473-8-14 |
0.399 |
|
| 2013 |
Aghaeepour N, Finak G, Hoos H, Mosmann TR, Brinkman R, Gottardo R, Scheuermann RH. Critical assessment of automated flow cytometry data analysis techniques. Nature Methods. 10: 228-38. PMID 23396282 DOI: 10.1038/Nmeth.2365 |
0.384 |
|
| 2013 |
Zare H, Haffari G, Gupta A, Brinkman RR. Scoring relevancy of features based on combinatorial analysis of Lasso with application to lymphoma diagnosis. Bmc Genomics. 14: S14. PMID 23369194 DOI: 10.1186/1471-2164-14-S1-S14 |
0.303 |
|
| 2013 |
Aghaeepour N, Finak G, Hoos H, Mosmann TR, Brinkman R, Gottardo R, Scheuermann RH. Erratum: Critical assessment of automated flow cytometry data analysis techniques Nature Methods. 10: 445-445. DOI: 10.1038/Nmeth0513-445C |
0.31 |
|
| 2012 |
Aghaeepour N, Jalali A, O'Neill K, Chattopadhyay PK, Roederer M, Hoos HH, Brinkman RR. RchyOptimyx: cellular hierarchy optimization for flow cytometry. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. 81: 1022-30. PMID 23044634 DOI: 10.1002/Cyto.A.22209 |
0.348 |
|
| 2012 |
Spidlen J, Breuer K, Rosenberg C, Kotecha N, Brinkman RR. FlowRepository: a resource of annotated flow cytometry datasets associated with peer-reviewed publications. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. 81: 727-31. PMID 22887982 DOI: 10.1002/Cyto.A.22106 |
0.365 |
|
| 2012 |
Spidlen J, Breuer K, Brinkman R. Preparing a Minimum Information about a Flow Cytometry Experiment (MIFlowCyt) compliant manuscript using the International Society for Advancement of Cytometry (ISAC) FCS file repository (FlowRepository.org). Current Protocols in Cytometry / Editorial Board, J. Paul Robinson, Managing Editor ... [Et Al.]. Unit 10.18. PMID 22752950 DOI: 10.1002/0471142956.Cy1018S61 |
0.363 |
|
| 2012 |
Bashashati A, Johnson NA, Khodabakhshi AH, Whiteside MD, Zare H, Scott DW, Lo K, Gottardo R, Brinkman FS, Connors JM, Slack GW, Gascoyne RD, Weng AP, Brinkman RR. B cells with high side scatter parameter by flow cytometry correlate with inferior survival in diffuse large B-cell lymphoma. American Journal of Clinical Pathology. 137: 805-14. PMID 22523221 DOI: 10.1309/Ajcpgr8Bg4Jdvowr |
0.353 |
|
| 2012 |
Aghaeepour N, Chattopadhyay PK, Ganesan A, O'Neill K, Zare H, Jalali A, Hoos HH, Roederer M, Brinkman RR. Early immunologic correlates of HIV protection can be identified from computational analysis of complex multivariate T-cell flow cytometry assays. Bioinformatics (Oxford, England). 28: 1009-16. PMID 22383736 DOI: 10.1093/Bioinformatics/Bts082 |
0.381 |
|
| 2012 |
Bray C, Spidlen J, Brinkman RR. FCS 3.1 Implementation guidance. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. 81: 523-6. PMID 22278913 DOI: 10.1002/Cyto.A.22018 |
0.332 |
|
| 2012 |
Zare H, Bashashati A, Kridel R, Aghaeepour N, Haffari G, Connors JM, Gascoyne RD, Gupta A, Brinkman RR, Weng AP. Automated analysis of multidimensional flow cytometry data improves diagnostic accuracy between mantle cell lymphoma and small lymphocytic lymphoma. American Journal of Clinical Pathology. 137: 75-85. PMID 22180480 DOI: 10.1309/AJCPMMLQ67YOMGEW |
0.377 |
|
| 2012 |
Knapp DJ, Bendall SC, Miller PH, Cheung AM, Imren S, Humphries RK, Brinkman RR, Oostendorp RA, Nolan GP, Eaves CJ. Short Term Signalling Responses of the Most Primitive Subsets of Human Hematopoietic Cells Stimulated in Vitro Correlate with Their Subsequent Self-Renewal Behaviour. Blood. 120: 2341-2341. DOI: 10.1182/Blood.V120.21.2341.2341 |
0.322 |
|
| 2011 |
Spidlen J, Shooshtari P, Kollmann TR, Brinkman RR. Flow cytometry data standards. Bmc Research Notes. 4: 50. PMID 21385382 DOI: 10.1186/1756-0500-4-50 |
0.397 |
|
| 2011 |
Aghaeepour N, Nikolic R, Hoos HH, Brinkman RR. Rapid cell population identification in flow cytometry data. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. 79: 6-13. PMID 21182178 DOI: 10.1002/Cyto.A.21007 |
0.357 |
|
| 2011 |
Villanova F, Di Meglio P, Heck S, Inokuma M, Brinkman R, Perucha E, Hernandez Fuentes M, Lord G, Maino S, Nestle FO. Lyoplate-based multiparameter flow cytometry for the analysis of T cell subsets in human immuno-monitoring studies Journal of Translational Medicine. 9. DOI: 10.1186/1479-5876-9-S2-P18 |
0.368 |
|
| 2010 |
Zare H, Shooshtari P, Gupta A, Brinkman RR. Data reduction for spectral clustering to analyze high throughput flow cytometry data. Bmc Bioinformatics. 11: 403. PMID 20667133 DOI: 10.1186/1471-2105-11-403 |
0.36 |
|
| 2010 |
Brinkman RR, Courtot M, Derom D, Fostel JM, He Y, Lord P, Malone J, Parkinson H, Peters B, Rocca-Serra P, Ruttenberg A, Sansone SA, Soldatova LN, Stoeckert CJ, Turner JA, et al. Modeling biomedical experimental processes with OBI. Journal of Biomedical Semantics. 1: S7. PMID 20626927 DOI: 10.1186/2041-1480-1-S1-S7 |
0.308 |
|
| 2010 |
Jiang X, Forrest D, Nicolini F, Turhan A, Guilhot J, Yip C, Holyoake T, Jorgensen H, Lambie K, Saw KM, Pang E, Vukovic R, Lehn P, Ringrose A, Yu M, ... Brinkman RR, et al. Properties of CD34+ CML stem/progenitor cells that correlate with different clinical responses to imatinib mesylate. Blood. 116: 2112-21. PMID 20574046 DOI: 10.1182/Blood-2009-05-222471 |
0.304 |
|
| 2010 |
Blimkie D, Fortuno ES, Thommai F, Xu L, Fernandes E, Crabtree J, Rein-Weston A, Jansen K, Brinkman RR, Kollmann TR. Identification of B cells through negative gating-An example of the MIFlowCyt standard applied. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. 77: 546-51. PMID 20131398 DOI: 10.1002/Cyto.A.20862 |
0.338 |
|
| 2010 |
Spidlen J, Moore W, Parks D, Goldberg M, Bray C, Bierre P, Gorombey P, Hyun B, Hubbard M, Lange S, Lefebvre R, Leif R, Novo D, Ostruszka L, Treister A, ... ... Brinkman RR, et al. Data File Standard for Flow Cytometry, version FCS 3.1. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. 77: 97-100. PMID 19937951 DOI: 10.1002/Cyto.A.20825 |
0.379 |
|
| 2010 |
Hahne F, Khodabakhshi AH, Bashashati A, Wong CJ, Gascoyne RD, Weng AP, Seyfert-Margolis V, Bourcier K, Asare A, Lumley T, Gentleman R, Brinkman RR. Per-channel basis normalization methods for flow cytometry data. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. 77: 121-31. PMID 19899135 DOI: 10.1002/Cyto.A.20823 |
0.386 |
|
| 2009 |
Gottardo R, Brinkman RR, Luta G, Wand MP. Recent bioinformatics advances in the analysis of high throughput flow cytometry data. Advances in Bioinformatics. 461763. PMID 20169120 DOI: 10.1155/2009/461763 |
0.419 |
|
| 2009 |
Bashashati A, Brinkman RR. A survey of flow cytometry data analysis methods. Advances in Bioinformatics. 584603. PMID 20049163 DOI: 10.1155/2009/584603 |
0.389 |
|
| 2009 |
Finak G, Bashashati A, Brinkman R, Gottardo R. Merging mixture components for cell population identification in flow cytometry. Advances in Bioinformatics. 247646. PMID 20049161 DOI: 10.1155/2009/247646 |
0.394 |
|
| 2009 |
Strain E, Hahne F, Brinkman RR, Haaland P. Analysis of High-Throughput Flow Cytometry Data Using plateCore. Advances in Bioinformatics. 356141. PMID 19956418 DOI: 10.1155/2009/356141 |
0.378 |
|
| 2009 |
Qian Y, Tchuvatkina O, Spidlen J, Wilkinson P, Gasparetto M, Jones AR, Manion FJ, Scheuermann RH, Sekaly RP, Brinkman RR. FuGEFlow: data model and markup language for flow cytometry. Bmc Bioinformatics. 10: 184. PMID 19531228 DOI: 10.1186/1471-2105-10-184 |
0.37 |
|
| 2009 |
Lo K, Hahne F, Brinkman RR, Gottardo R. flowClust: a Bioconductor package for automated gating of flow cytometry data. Bmc Bioinformatics. 10: 145. PMID 19442304 DOI: 10.1186/1471-2105-10-145 |
0.4 |
|
| 2009 |
Hahne F, LeMeur N, Brinkman RR, Ellis B, Haaland P, Sarkar D, Spidlen J, Strain E, Gentleman R. flowCore: a Bioconductor package for high throughput flow cytometry. Bmc Bioinformatics. 10: 106. PMID 19358741 DOI: 10.1186/1471-2105-10-106 |
0.395 |
|
| 2008 |
Spidlen J, Leif RC, Moore W, Roederer M, Brinkman RR. Gating-ML: XML-based gating descriptions in flow cytometry. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. 73: 1151-7. PMID 18773465 DOI: 10.1002/Cyto.A.20637 |
0.356 |
|
| 2008 |
Lee JA, Spidlen J, Boyce K, Cai J, Crosbie N, Dalphin M, Furlong J, Gasparetto M, Goldberg M, Goralczyk EM, Hyun B, Jansen K, Kollmann T, Kong M, Leif R, ... ... Brinkman RR, et al. MIFlowCyt: the minimum information about a Flow Cytometry Experiment. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. 73: 926-30. PMID 18752282 DOI: 10.1002/Cyto.A.20623 |
0.368 |
|
| 2008 |
Lo K, Brinkman RR, Gottardo R. Automated gating of flow cytometry data via robust model-based clustering. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. 73: 321-32. PMID 18307272 DOI: 10.1002/Cyto.A.20531 |
0.343 |
|
| 2008 |
Leif RC, Spidlen J, Brinkman RR. Cytometry standards continuum Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6859. DOI: 10.1117/12.762514 |
0.356 |
|
| 2007 |
Brinkman RR, Gasparetto M, Lee SJ, Ribickas AJ, Perkins J, Janssen W, Smiley R, Smith C. High-content flow cytometry and temporal data analysis for defining a cellular signature of graft-versus-host disease. Biology of Blood and Marrow Transplantation : Journal of the American Society For Blood and Marrow Transplantation. 13: 691-700. PMID 17531779 DOI: 10.1016/J.Bbmt.2007.02.002 |
0.383 |
|
| 2007 |
Le Meur N, Rossini A, Gasparetto M, Smith C, Brinkman RR, Gentleman R. Data quality assessment of ungated flow cytometry data in high throughput experiments. Cytometry. Part a : the Journal of the International Society For Analytical Cytology. 71: 393-403. PMID 17366638 DOI: 10.1002/Cyto.A.20396 |
0.36 |
|
| 2006 |
Spidlen J, Gentleman RC, Haaland PD, Langille M, Le Meur N, Ochs MF, Schmitt C, Smith CA, Treister AS, Brinkman RR. Data standards for flow cytometry. Omics : a Journal of Integrative Biology. 10: 209-14. PMID 16901228 DOI: 10.1089/Omi.2006.10.209 |
0.374 |
|
| 2006 |
Whetzel PL, Brinkman RR, Causton HC, Fan L, Field D, Fostel J, Fragoso G, Gray T, Heiskanen M, Hernandez-Boussard T, Morrison N, Parkinson H, Rocca-Serra P, Sansone SA, Schober D, et al. Development of FuGO: an ontology for functional genomics investigations. Omics : a Journal of Integrative Biology. 10: 199-204. PMID 16901226 DOI: 10.1089/Omi.2006.10.199 |
0.3 |
|
| 2004 |
Lafreniere RG, MacDonald ML, Dube MP, MacFarlane J, O'Driscoll M, Brais B, Meilleur S, Brinkman RR, Dadivas O, Pape T, Platon C, Radomski C, Risler J, Thompson J, Guerra-Escobio AM, et al. Identification of a novel gene (HSN2) causing hereditary sensory and autonomic neuropathy type II through the Study of Canadian Genetic Isolates. American Journal of Human Genetics. 74: 1064-73. PMID 15060842 DOI: 10.1086/420795 |
0.424 |
|
| 2004 |
Djoussé L, Knowlton B, Hayden MR, Almqvist EW, Brinkman RR, Ross CA, Margolis RL, Rosenblatt A, Durr A, Dode C, Morrison PJ, Novelletto A, Frontali M, Trent RJ, McCusker E, et al. Evidence for a modifier of onset age in Huntington disease linked to the HD gene in 4p16. Neurogenetics. 5: 109-14. PMID 15029481 DOI: 10.1007/S10048-004-0175-2 |
0.433 |
|
| 2004 |
Langbehn DR, Brinkman RR, Falush D, Paulsen JS, Hayden MR. A new model for prediction of the age of onset and penetrance for Huntington's disease based on CAG length. Clinical Genetics. 65: 267-77. PMID 15025718 DOI: 10.1111/J.1399-0004.2004.00241.X |
0.435 |
|
| 2003 |
Almqvist EW, Brinkman RR, Wiggins S, Hayden MR. Psychological consequences and predictors of adverse events in the first 5 years after predictive testing for Huntington's disease. Clinical Genetics. 64: 300-9. PMID 12974735 DOI: 10.1034/J.1399-0004.2003.00157.X |
0.422 |
|
| 2003 |
Li JL, Hayden MR, Almqvist EW, Brinkman RR, Durr A, Dodé C, Morrison PJ, Suchowersky O, Ross CA, Margolis RL, Rosenblatt A, Gómez-Tortosa E, Cabrero DM, Novelletto A, Frontali M, et al. A genome scan for modifiers of age at onset in Huntington disease: The HD MAPS study. American Journal of Human Genetics. 73: 682-7. PMID 12900792 DOI: 10.1086/378133 |
0.429 |
|
| 2003 |
Djoussé L, Knowlton B, Hayden M, Almqvist EW, Brinkman R, Ross C, Margolis R, Rosenblatt A, Durr A, Dode C, Morrison PJ, Novelletto A, Frontali M, Trent RJ, McCusker E, et al. Interaction of normal and expanded CAG repeat sizes influences age at onset of Huntington disease. American Journal of Medical Genetics. Part A. 119: 279-82. PMID 12784292 DOI: 10.1002/Ajmg.A.20190 |
0.433 |
|
| 2001 |
Paulsen JS, Zhao H, Stout JC, Brinkman RR, Guttman M, Ross CA, Como P, Manning C, Hayden MR, Shoulson I. Clinical markers of early disease in persons near onset of Huntington's disease. Neurology. 57: 658-62. PMID 11524475 DOI: 10.1212/Wnl.57.4.658 |
0.423 |
|
| 2001 |
Rosenblatt A, Brinkman RR, Liang KY, Almqvist EW, Margolis RL, Huang CY, Sherr M, Franz ML, Abbott MH, Hayden MR, Ross CA. Familial influence on age of onset among siblings with Huntington disease. American Journal of Medical Genetics. 105: 399-403. PMID 11449389 DOI: 10.1002/Ajmg.1400 |
0.426 |
|
| 1999 |
Almqvist EW, Bloch M, Brinkman R, Craufurd D, Hayden MR. A worldwide assessment of the frequency of suicide, suicide attempts, or psychiatric hospitalization after predictive testing for Huntington disease. American Journal of Human Genetics. 64: 1293-304. PMID 10205260 DOI: 10.1086/302374 |
0.398 |
|
| 1999 |
Hadano S, Nichol K, Brinkman RR, Nasir J, Martindale D, Koop BF, Nicholson DW, Scherer SW, Ikeda JE, Hayden MR. A yeast artificial chromosome-based physical map of the juvenile amyotrophic lateral sclerosis (ALS2) critical region on human chromosome 2q33-q34. Genomics. 55: 106-12. PMID 9889004 DOI: 10.1006/Geno.1998.5637 |
0.386 |
|
| 1997 |
Wellington CL, Brinkman RR, O'Kusky JR, Hayden MR. Toward understanding the molecular pathology of Huntington's disease. Brain Pathology (Zurich, Switzerland). 7: 979-1002. PMID 9217979 DOI: 10.1111/J.1750-3639.1997.Tb00897.X |
0.441 |
|
| 1997 |
Brinkman RR, Mezei MM, Theilmann J, Almqvist E, Hayden MR. The likelihood of being affected with Huntington disease by a particular age, for a specific CAG size. American Journal of Human Genetics. 60: 1202-10. PMID 9150168 |
0.364 |
|
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