Pan-cancer analysis of whole genomes Nature 578 (7793), 82-93, 2020 | 1134 | 2020 |
A community effort to assess and improve drug sensitivity prediction algorithms JC Costello, LM Heiser, E Georgii, M Gönen, MP Menden, NJ Wang, ... Nature biotechnology 32 (12), 1202-1212, 2014 | 681 | 2014 |
Assessing the clinical utility of cancer genomic and proteomic data across tumor types Y Yuan, EM Van Allen, L Omberg, N Wagle, A Amin-Mansour, A Sokolov, ... Nature biotechnology 32 (7), 644-652, 2014 | 297 | 2014 |
Comprehensive Characterization of Molecular Differences in Cancer between Male and Female Patients Y Yuan, L Liu, H Chen, Y Wang, Y Xu, H Mao, J Li, GB Mills, Y Shu, L Li, ... Cancer Cell 29 (5), 711-722, 2016 | 249 | 2016 |
Comprehensive molecular characterization of mitochondrial genomes in human cancers Y Yuan, YS Ju, Y Kim, J Li, Y Wang, CJ Yoon, Y Yang, I Martincorena, ... Nature genetics 52 (3), 342-352, 2020 | 230* | 2020 |
TCGA-assembler 2: software pipeline for retrieval and processing of TCGA/CPTAC data L Wei, Z Jin, S Yang, Y Xu, Y Zhu, Y Ji Bioinformatics 34 (9), 1615-1617, 2018 | 177 | 2018 |
Enter the matrix: factorization uncovers knowledge from omics GL Stein-O’Brien, R Arora, AC Culhane, AV Favorov, LX Garmire, ... Trends in Genetics 34 (10), 790-805, 2018 | 172 | 2018 |
The Pan-Cancer analysis of pseudogene expression reveals biologically and clinically relevant tumour subtypes L Han, Y Yuan, S Zheng, Y Yang, J Li, ME Edgerton, L Diao, Y Xu, ... Nature communications 5 (1), 3963, 2014 | 143 | 2014 |
Comparison of Time to Clinical Improvement With vs Without Remdesivir Treatment in Hospitalized Patients With COVID-19 BT Garibaldi, K Wang, ML Robinson, SL Zeger, K Bandeen-Roche, ... JAMA Network Open 4 (3), e213071-e213071, 2021 | 115 | 2021 |
Prediction of lung cancer risk at follow-up screening with low-dose CT: a training and validation study of a deep learning method P Huang, CT Lin, Y Li, MC Tammemagi, MV Brock, S Atkar-Khattra, Y Xu, ... The Lancet Digital Health 1 (7), e353-e362, 2019 | 79 | 2019 |
Bayesian nonparametric estimation for dynamic treatment regimes with sequential transition times Y Xu, P Müller, AS Wahed, PF Thall Journal of the American Statistical Association 111 (515), 921-950, 2016 | 67 | 2016 |
Racial and ethnic discrepancy in pulse oximetry and delayed identification of treatment eligibility among patients with COVID-19 A Fawzy, TD Wu, K Wang, ML Robinson, J Farha, A Bradke, SH Golden, ... JAMA internal medicine 182 (7), 730-738, 2022 | 65 | 2022 |
Multivariate relationships between peripheral inflammatory marker subtypes and cognitive and brain structural measures in psychosis P Lizano, O Lutz, Y Xu, LH Rubin, L Paskowitz, AM Lee, S Eum, SK Keedy, ... Molecular psychiatry 26 (7), 3430-3443, 2021 | 61 | 2021 |
A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves Y Xu, Y Xu, S Saria Machine Learning for Healthcare Conference, 282-300, 2016 | 57 | 2016 |
Sex differences in neurocognitive function in adults with HIV: patterns, predictors, and mechanisms LH Rubin, GN Neigh, EE Sundermann, Y Xu, EP Scully, PM Maki Current psychiatry reports 21, 1-12, 2019 | 47 | 2019 |
Development of severe COVID-19 adaptive risk predictor (SCARP), a calculator to predict severe disease or death in hospitalized patients with COVID-19 S Wongvibulsin, BT Garibaldi, AAR Antar, J Wen, MC Wang, A Gupta, ... Annals of internal medicine 174 (6), 777-785, 2021 | 46 | 2021 |
Subgroup-based adaptive (SUBA) designs for multi-arm biomarker trials Y Xu, L Trippa, P Müller, Y Ji Statistics in Biosciences 8, 159-180, 2016 | 46 | 2016 |
Integrating omics data G Tseng, D Ghosh, XJ Zhou Cambridge University Press, 2015 | 44 | 2015 |
Bayesian inference for latent biologic structure with determinantal point processes (DPP) Y Xu, P Müller, D Telesca Biometrics 72 (3), 955-964, 2016 | 41 | 2016 |
Predicting the lethal phenotype of the knockout mouse by integrating comprehensive genomic data Y Yuan, Y Xu, J Xu, RL Ball, H Liang Bioinformatics 28 (9), 1246-1252, 2012 | 38 | 2012 |