| Principal component analysis for clustering gene expression data KY Yeung, WL Ruzzo Bioinformatics 17 (9), 763-774, 2001 | 1495 | 2001 |
| Model-based clustering and data transformations for gene expression data KY Yeung, C Fraley, A Murua, AE Raftery, WL Ruzzo Bioinformatics 17 (10), 977-987, 2001 | 1207 | 2001 |
| Validating clustering for gene expression data KY Yeung, DR Haynor, WL Ruzzo Bioinformatics 17 (4), 309-318, 2001 | 953 | 2001 |
| Bayesian model averaging: development of an improved multi-class, gene selection and classification tool for microarray data KY Yeung, RE Bumgarner, AE Raftery Bioinformatics 21 (10), 2394-2402, 2005 | 373 | 2005 |
| Details of the adjusted rand index and clustering algorithms, supplement to the paper an empirical study on principal component analysis for clustering gene expression data KY Yeung, WL Ruzzo Bioinformatics 17 (9), 763-774, 2001 | 355 | 2001 |
| Clustering gene-expression data with repeated measurements KY Yeung, M Medvedovic, RE Bumgarner Genome biology 4, 1-17, 2003 | 317 | 2003 |
| Bayesian mixture model based clustering of replicated microarray data M Medvedovic, KY Yeung, RE Bumgarner Bioinformatics 20 (8), 1222-1232, 2004 | 290 | 2004 |
| The derivation of diagnostic markers of chronic myeloid leukemia progression from microarray data VG Oehler, KY Yeung, YE Choi, RE Bumgarner, AE Raftery, JP Radich Blood, The Journal of the American Society of Hematology 114 (15), 3292-3298, 2009 | 186 | 2009 |
| BMA: Bayesian model averaging A Raftery, J Hoeting, C Volinsky, I Painter, KY Yeung R package version 3 (6), 2015 | 172 | 2015 |
| Multiclass classification of microarray data with repeated measurements: application to cancer KY Yeung, RE Bumgarner Genome biology 4, 1-19, 2003 | 159 | 2003 |
| Fast inference for the latent space network model using a case-control approximate likelihood AE Raftery, X Niu, PD Hoff, KY Yeung Journal of computational and graphical statistics 21 (4), 901-919, 2012 | 157 | 2012 |
| From co-expression to co-regulation: how many microarray experiments do we need? KY Yeung, M Medvedovic, RE Bumgarner Genome biology 5, 1-11, 2004 | 151 | 2004 |
| Donuts, scratches and blanks: robust model-based segmentation of microarray images Q Li, C Fraley, RE Bumgarner, KY Yeung, AE Raftery Bioinformatics 21 (12), 2875-2882, 2005 | 150 | 2005 |
| Bayesian robust inference for differential gene expression in microarrays with multiple samples R Gottardo, AE Raftery, KY Yeung, RE Bumgarner Biometrics 62 (1), 10-18, 2006 | 139 | 2006 |
| Fast Bayesian inference for gene regulatory networks using ScanBMA WC Young, AE Raftery, KY Yeung BMC systems biology 8, 1-11, 2014 | 113 | 2014 |
| MeV+ R: using MeV as a graphical user interface for Bioconductor applications in microarray analysis VT Chu, R Gottardo, AE Raftery, RE Bumgarner, KY Yeung Genome biology 9, 1-11, 2008 | 101 | 2008 |
| Construction of regulatory networks using expression time-series data of a genotyped population KY Yeung, KM Dombek, K Lo, JE Mittler, J Zhu, EE Schadt, ... Proceedings of the National Academy of Sciences 108 (48), 19436-19441, 2011 | 89 | 2011 |
| Iterative bayesian model averaging: A method for the application of survival analysis to high-dimensional microarray data A Annest, RE Bumgarner, AE Raftery, KY Yeung BMC bioinformatics 10, 1-17, 2009 | 78 | 2009 |
| An empirical study on principal component analysis for clustering gene expression data KY Yeung, WL Ruzzo Bioinformatics 17 (9), 763-774, 2001 | 75 | 2001 |
| Integrating external biological knowledge in the construction of regulatory networks from time-series expression data K Lo, AE Raftery, KM Dombek, J Zhu, EE Schadt, RE Bumgarner, ... BMC systems biology 6, 1-13, 2012 | 71 | 2012 |
Adrian E. RafteryProfessor of Statistics and Sociology, University of WashingtonZweryfikowany adres z uw.edu
