Yanxun Xu
Title
Cited by
Cited by
Year
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
5722014
Pan-cancer analysis of whole genomes
I The, TPCA of Whole, Genomes Consortium
Nature 578 (7793), 82, 2020
5612020
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
2642014
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
1712016
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
1172018
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), 1-9, 2014
1132014
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
1082018
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
922020
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
482016
A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves
Y Xu, Y Xu, S Saria
Machine Learning for Healthcare Conference, 282-300, 2016
452016
Subgroup-based adaptive (suba) designs for multi-arm biomarker trials
Y Xu, L Trippa, P Müller, Y Ji
Statistics in biosciences 8 (1), 159-180, 2016
422016
Integrating omics data
G Tseng, D Ghosh, XJ Zhou
Cambridge University Press, 2015
382015
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
352019
Zodiac: a comprehensive depiction of genetic interactions in cancer by integrating TCGA data
Y Zhu, Y Xu, DL Helseth Jr, K Gulukota, S Yang, LL Pesce, R Mitra, ...
Journal of the National Cancer Institute 107 (8), djv129, 2015
342015
Zodiac: a comprehensive depiction of genetic interactions in cancer by integrating TCGA data
Y Zhu, Y Xu, DL Helseth Jr, K Gulukota, S Yang, LL Pesce, R Mitra, ...
Journal of the National Cancer Institute 107 (8), djv129, 2015
342015
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
342012
BM‐Map: Bayesian Mapping of Multireads for Next‐Generation Sequencing Data
Y Ji, Y Xu, Q Zhang, KW Tsui, Y Yuan, C Norris Jr, S Liang, H Liang
Biometrics 67 (4), 1215-1224, 2011
332011
Bayesian inference for latent biologic structure with determinantal point processes (DPP)
Y Xu, P Müller, D Telesca
Biometrics 72 (3), 955-964, 2016
322016
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 (10), 1-12, 2019
272019
MAD Bayes for Tumor Heterogeneity—Feature Allocation With Exponential Family Sampling
Y Xu, P Müller, Y Yuan, K Gulukota, Y Ji
Journal of the American Statistical Association 110 (510), 503-514, 2015
262015
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Articles 1–20