| Oncogenic signaling pathways in the cancer genome atlas F Sanchez-Vega, M Mina, J Armenia, WK Chatila, A Luna, KC La, ... Cell 173 (2), 321-337. e10, 2018 | 2526 | 2018 |
| Opportunities and obstacles for deep learning in biology and medicine T Ching, DS Himmelstein, BK Beaulieu-Jones, AA Kalinin, BT Do, ... Journal of the Royal Society Interface, 142760, 2018 | 2046 | 2018 |
| Genomic and molecular landscape of DNA damage repair deficiency across the cancer genome atlas TA Knijnenburg, L Wang, MT Zimmermann, N Chambwe, GF Gao, ... Cell reports 23 (1), 239-254. e6, 2018 | 932 | 2018 |
| Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders GP Way, CS Greene Proceedings of the Pacific Symposium on Biocomputing, 80-91, 2018 | 274 | 2018 |
| Genomic profiling of childhood tumor patient-derived xenograft models to enable rational clinical trial design JL Rokita, KS Rathi, MF Cardenas, KA Upton, J Jayaseelan, KL Cross, ... Cell reports 29 (6), 1675-1689. e9, 2019 | 159 | 2019 |
| Machine Learning Detects Pan-cancer Ras Pathway Activation in The Cancer Genome Atlas GP Way, F Sanchez-Vega, K La, J Armenia, WK Chatila, A Luna, ... Cell Reports, 2018 | 153 | 2018 |
| Immune landscapes associated with different glioblastoma molecular subtypes M Martinez-Lage, TM Lynch, Y Bi, C Cocito, GP Way, S Pal, J Haller, ... Acta neuropathologica communications 7, 1-12, 2019 | 147 | 2019 |
| Predicting cell health phenotypes using image-based morphology profiling GP Way, M Kost-Alimova, T Shibue, WF Harrington, S Gill, F Piccioni, ... Molecular biology of the cell 32 (9), 995-1005, 2021 | 90 | 2021 |
| A comparison of methodologies to test aggression in zebrafish GP Way, N Ruhl, JL Snekser, AL Kiesel, SP McRobert Zebrafish 12 (2), 144-151, 2015 | 88 | 2015 |
| Challenges and opportunities in studying the epidemiology of ovarian cancer subtypes JA Doherty, LC Peres, C Wang, GP Way, CS Greene, JM Schildkraut Current epidemiology reports 4, 211-220, 2017 | 83 | 2017 |
| Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representations GP Way, M Zietz, V Rubinetti, DS Himmelstein, CS Greene Genome biology 21, 1-27, 2020 | 72* | 2020 |
| Epigenomic profiling of neuroblastoma cell lines K Upton, A Modi, K Patel, NM Kendsersky, KL Conkrite, RT Sussman, ... Scientific Data 7 (1), 116, 2020 | 66 | 2020 |
| Morphology and gene expression profiling provide complementary information for mapping cell state GP Way, T Natoli, A Adeboye, L Litichevskiy, A Yang, X Lu, JC Caicedo, ... Cell systems 13 (11), 911-923. e9, 2022 | 62 | 2022 |
| Sharing biological data: why, when, and how SL Wilson, GP Way, W Bittremieux, JP Armache, MA Haendel, ... FEBS letters 595 (7), 847, 2021 | 39 | 2021 |
| Comprehensive cross-population analysis of high-grade serous ovarian cancer supports no more than three subtypes GP Way, J Rudd, C Wang, H Hamidi, BL Fridley, GE Konecny, EL Goode, ... G3: Genes, Genomes, Genetics 6 (12), 4097-4103, 2016 | 37* | 2016 |
| Sex differences in a shoaling-boldness behavioral syndrome, but no link with aggression GP Way, AL Kiesel, N Ruhl, JL Snekser, SP McRobert Behavioural processes 113, 7-12, 2015 | 37 | 2015 |
| A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma GP Way, RJ Allaway, SJ Bouley, CE Fadul, Y Sanchez, CS Greene BMC genomics 18, 1-11, 2017 | 34 | 2017 |
| Deconvolution of DNA methylation identifies differentially methylated gene regions on 1p36 across breast cancer subtypes AJ Titus, GP Way, KC Johnson, BC Christensen Scientific Reports 7 (1), 2017 | 28 | 2017 |
| Bayesian deep learning for single-cell analysis GP Way, CS Greene Nature methods 15 (12), 1009-1010, 2018 | 26 | 2018 |
| Integrated phosphoproteomics and transcriptional classifiers reveal hidden RAS signaling dynamics in multiple myeloma YHT Lin, GP Way, BG Barwick, MC Mariano, M Marcoulis, ID Ferguson, ... Blood advances 3 (21), 3214-3227, 2019 | 22 | 2019 |
Casey S. GreeneBiomedical Informatics; Center for Health AI; University of Colorado Anschutz Medical在 cuanschutz.edu 的电子邮件经过验证
