Y. X. Rachel Wang

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Soavtorji

Haiyan Huang, ProfessorUniversity of California, BerkeleyPreverjeni e-poštni naslov na stat.berkeley.edu
Wing Hung WongStanford UniversityPreverjeni e-poštni naslov na stanford.edu
Purnamrita SarkarAssociate Professor, Statistics and Data Sciences, University of Texas at AustinPreverjeni e-poštni naslov na austin.utexas.edu
peter bickelProfessor of Statistics, UC BerkeleyPreverjeni e-poštni naslov na stat.berkeley.edu
Yingxin LinYale UniversityPreverjeni e-poštni naslov na yale.edu
Oana UrsuPrincipal Scientist, Cellular and Tissue Genomics, GenentechPreverjeni e-poštni naslov na gene.com
Anshul KundajeAssociate Professor, Dept. of Genetics, Dept. of Computer Science, Stanford UniversityPreverjeni e-poštni naslov na stanford.edu
Xin TongAssociate Professor, Department of Data Sciences and Operations, University of Southern CaliforniaPreverjeni e-poštni naslov na marshall.usc.edu
Anand BhaskarWaymoPreverjeni e-poštni naslov na waymo.com
Soumendu Sundar MukherjeeAssistant Professor at Statistics and Mathematics Unit, Indian Statistical Institute, KolkataPreverjeni e-poštni naslov na isical.ac.in
Jingyi Jessica LiProfessor, Department of Statistics, University of California at Los Angeles (UCLA)Preverjeni e-poštni naslov na stat.ucla.edu
Matthias SteinrueckenUniversity of Chicago, Department of Ecology & EvolutionPreverjeni e-poštni naslov na uchicago.edu
Bowei YanUniversity of Texas at AustinPreverjeni e-poštni naslov na utexas.edu
Matteo SesiaUniversity of Southern CaliforniaPreverjeni e-poštni naslov na usc.edu
Qiying WangThe University of SydneyPreverjeni e-poštni naslov na maths.usyd.edu.au
Mingzhang YinAssistant Professor, University of FloridaPreverjeni e-poštni naslov na ufl.edu
Ke LiuDepartment of Pediatrics and Human Development, Michigan State UniversityPreverjeni e-poštni naslov na msu.edu

Spremljaj

Y. X. Rachel Wang

School of Mathematics and Statistics, University of Sydney

Preverjeni e-poštni naslov na sydney.edu.au

Statistical network modelling statistical machine learning computational biology


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Selective coating of holes in microstructured optical fiber and its application to in-fiber absorptive polarizers X Zhang, R Wang, FM Cox, BT Kuhlmey, MCJ Large Optics express 15 (24), 16270-16278, 2007	482	2007
Likelihood-based model selection for stochastic block models YXR Wang, PJ Bickel The Annals of Statistics 45 (2), 500-528, 2017	230	2017
Review on statistical methods for gene network reconstruction using expression data YXR Wang, H Huang Journal of theoretical biology 362, 53-61, 2014	227	2014
scJoint integrates atlas-scale single-cell RNA-seq and ATAC-seq data with transfer learning Y Lin, TY Wu, S Wan, JYH Yang, WH Wong, YX Wang Nature Biotechnology 40 (5), 703-710, 2022	119	2022
GenomeDISCO: A concordance score for chromosome conformation capture experiments using random walks on contact map graphs O Ursu, N Boley, M Taranova, YXR Wang, GG Yardimci, W Stafford Noble, ... Bioinformatics 34 (16), 2701-2707, 2018	114	2018
Efficient inference of population size histories and locus-specific mutation rates from large-sample genomic variation data A Bhaskar, YXR Wang, YS Song Genome research 25 (2), 268-279, 2015	105	2015
Inferring gene–gene interactions and functional modules using sparse canonical correlation analysis YXR Wang, K Jiang, LJ Feldman, PJ Bickel, H Huang The Annals of Applied Statistics 9 (1), 300-323, 2015	46	2015
An explicit transition density expansion for a multi-allelic Wright–Fisher diffusion with general diploid selection M Steinrücken, YXR Wang, YS Song Theoretical population biology 83, 1-14, 2013	43	2013
Gene coexpression measures in large heterogeneous samples using count statistics YXR Wang, MS Waterman, H Huang Proceedings of the National Academy of Sciences 111 (46), 16371-16376, 2014	38	2014
Mean field for the stochastic blockmodel: Optimization landscape and convergence issues SS Mukherjee, P Sarkar, RYX Wang, B Yan Advances in neural information processing systems, 2018	29	2018
On hyperparameter tuning in general clustering problemsm X Fan, Y Yue, P Sarkar, YXR Wang International Conference on Machine Learning, 2996-3007, 2020	25	2020
Nonparametric cointegrating regression with NNH errors Q Wang, YXR Wang Econometric Theory 29 (1), 1-27, 2013	23	2013
Network modeling in biology: statistical methods for gene and brain networks YXR Wang, L Li, JJ Li, H Huang Statistical Science 36 (1), 89-108, 2021	19	2021
A theoretical case study of structured variational inference for community detection M Yin, YXR Wang, P Sarkar International Conference on Artificial Intelligence and Statistics, 3750-3761, 2020	19	2020
Mini-Batch Metropolis–Hastings With Reversible SGLD Proposal TY Wu, YX Rachel Wang, WH Wong Journal of the American Statistical Association, 1-9, 2020	17*	2020
Generalized correlation measure using count statistics for gene expression data with ordered samples YXR Wang, K Liu, E Theusch, JI Rotter, MW Medina, MS Waterman, ... Bioinformatics 34 (4), 617-624, 2018	12	2018
Adaptive conformal classification with noisy labels M Sesia, YXR Wang, X Tong Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024	10	2024
When random initializations help: a study of variational inference for community detection P Sarkar, YXR Wang, SS Mukherjee Journal of Machine Learning Research 22 (22), 1-46, 2021	8	2021
Network modelling of topological domains using Hi-C data YXR Wang, P Sarkar, O Ursu, A Kundaje, PJ Bickel The annals of applied statistics 13 (3), 1511, 2019	6	2019
A Unified Framework for Tuning Hyperparameters in Clustering Problems X Fan, Y Yue, P Sarkar, YX Wang arXiv preprint arXiv:1910.08018, 2019	5	2019

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