| Repeated observation of breast tumor subtypes in independent gene expression data sets. T Sorlie, R Tibshirani, J Parker, T Hastie, JS Marron, A Nobel, S Deng, ... Proceedings of the National Academy of Sciences of the united States of …, 2003 | 5259 | 2003 |
| Supervised risk predictor of breast cancer based on intrinsic subtypes JS Parker, M Mullins, MCU Cheang, S Leung, D Voduc, T Vickery, ... Journal of clinical oncology 27 (8), 1160, 2009 | 3424 | 2009 |
| The genotype-tissue expression (GTEx) project J Lonsdale, J Thomas, M Salvatore, R Phillips, E Lo, S Shad, R Hasz, ... Nature genetics 45 (6), 580-585, 2013 | 3391 | 2013 |
| The molecular portraits of breast tumors are conserved across microarray platforms Z Hu, C Fan, DS Oh, JS Marron, X He, BF Qaqish, C Livasy, LA Carey, ... BMC genomics 7 (1), 1-12, 2006 | 1574 | 2006 |
| Concordance among gene-expression–based predictors for breast cancer C Fan, DS Oh, L Wessels, B Weigelt, DSA Nuyten, AB Nobel, ... New England Journal of Medicine 355 (6), 560-569, 2006 | 1483 | 2006 |
| Genetic effects on gene expression across human tissues GTEx Consortium Nature 550 (7675), 204-213, 2017 | 1267 | 2017 |
| Repeated observation of breast tumor subtypes in independent gene expression data sets T Sørlie, R Tibshirani, J Parker, T Hastie, JS Marron, A Nobel, S Deng, ... Proceedings of the national academy of sciences 100 (14), 8418-8423, 2003 | 806 | 2003 |
| Significance analysis of functional categories in gene expression studies: a structured permutation approach WT Barry, AB Nobel, FA Wright Bioinformatics 21 (9), 1943-1949, 2005 | 389 | 2005 |
| Joint and individual variation explained (JIVE) for integrated analysis of multiple data types EF Lock, KA Hoadley, JS Marron, AB Nobel The annals of applied statistics 7 (1), 523, 2013 | 255 | 2013 |
| Merging two gene-expression studies via cross-platform normalization AA Shabalin, H Tjelmeland, C Fan, CM Perou, AB Nobel Bioinformatics 24 (9), 1154-1160, 2008 | 222 | 2008 |
| Statistical significance of clustering for high-dimension, low–sample size data Y Liu, DN Hayes, A Nobel, JS Marron Journal of the American Statistical Association 103 (483), 1281-1293, 2008 | 211 | 2008 |
| Consistency of data-driven histogram methods for density estimation and classification G Lugosi, A Nobel The Annals of Statistics 24 (2), 687-706, 1996 | 208 | 1996 |
| ChIPOTle: a user-friendly tool for the analysis of ChIP-chip data MJ Buck, AB Nobel, JD Lieb Genome biology 6 (11), 1-8, 2005 | 194 | 2005 |
| Finding large average submatrices in high dimensional data AA Shabalin, VJ Weigman, CM Perou, AB Nobel The Annals of Applied Statistics 3 (3), 985-1012, 2009 | 148 | 2009 |
| Gene expression profiles do not consistently predict the clinical treatment response in locally advanced breast cancer T Sørlie, CM Perou, C Fan, S Geisler, T Aas, A Nobel, G Anker, LA Akslen, ... Molecular cancer therapeutics 5 (11), 2914-2918, 2006 | 148 | 2006 |
| Reconstruction of a low-rank matrix in the presence of Gaussian noise AA Shabalin, AB Nobel Journal of Multivariate Analysis 118, 67-76, 2013 | 116 | 2013 |
| Basal-like Breast cancer DNA copy number losses identify genes involved in genomic instability, response to therapy, and patient survival VJ Weigman, HH Chao, AA Shabalin, X He, JS Parker, SH Nordgard, ... Breast cancer research and treatment 133 (3), 865-880, 2012 | 114 | 2012 |
| Histogram regression estimation using data-dependent partitions A Nobel The Annals of Statistics 24 (3), 1084-1105, 1996 | 107 | 1996 |
| Co-expression networks reveal the tissue-specific regulation of transcription and splicing A Saha, Y Kim, ADH Gewirtz, B Jo, C Gao, IC McDowell, BE Engelhardt, ... Genome research 27 (11), 1843-1858, 2017 | 82 | 2017 |
| Mining approximate frequent itemsets in the presence of noise: Algorithm and analysis J Liu, S Paulsen, X Sun, W Wang, A Nobel, J Prins Proceedings of the 2006 SIAM International Conference on Data Mining, 407-418, 2006 | 82 | 2006 |
