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Eric P Xing

Showing results (11-20 of 81) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|July 15, 2004
MotifPrototyper: a Bayesian profile model for motif familiesEric P Xing, Richard M Karp
Bioinformatics (Oxford, England)|June 17, 2016
A network-driven approach for genome-wide association mappingSeunghak Lee, Soonho Kong, Eric P Xing
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|March 1, 2022
Trade-offs of Linear Mixed Models in Genome-Wide Association StudiesHaohan Wang, Bryon Aragam, Eric P Xing
Methods (San Diego, Calif.)|September 18, 2017
Backward genotype-transcript-phenotype association mappingSeunghak Lee, Haohan Wang, Eric P Xing
Bioinformatics (Oxford, England)|June 10, 2010
Multi-population GWA mapping via multi-task regularized regressionKriti Puniyani, Seyoung Kim, Eric P Xing
Bioinformatics (Oxford, England)|June 10, 2010
SPEX2: automated concise extraction of spatial gene expression patterns from Fly embryo ISH imagesKriti Puniyani, Christos Faloutsos, Eric P Xing
Bioinformatics (Oxford, England)|May 30, 2009
KELLER: estimating time-varying interactions between genesLe Song, Mladen Kolar, Eric P Xing
Bioinformatics (Oxford, England)|May 30, 2009
DISCOVER: a feature-based discriminative method for motif search in complex genomesWenjie Fu, Pradipta Ray, Eric P Xing
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|March 14, 2019
Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare ApplicationsHaohan Wang, Zhenglin Wu, Eric P Xing
Methods (San Diego, Calif.)|April 30, 2018
Variable selection in heterogeneous datasets: A truncated-rank sparse linear mixed model with applications to genome-wide association studiesHaohan Wang, Bryon Aragam, Eric P Xing
Pageof 9

Showing results (11-20 of 81) with videos related to

Sort By:
Pageof 9
Proceedings of the National Academy of Sciences of the United States of America|July 15, 2004
MotifPrototyper: a Bayesian profile model for motif familiesEric P Xing, Richard M Karp
Bioinformatics (Oxford, England)|June 17, 2016
A network-driven approach for genome-wide association mappingSeunghak Lee, Soonho Kong, Eric P Xing
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|March 1, 2022
Trade-offs of Linear Mixed Models in Genome-Wide Association StudiesHaohan Wang, Bryon Aragam, Eric P Xing
Methods (San Diego, Calif.)|September 18, 2017
Backward genotype-transcript-phenotype association mappingSeunghak Lee, Haohan Wang, Eric P Xing
Bioinformatics (Oxford, England)|June 10, 2010
Multi-population GWA mapping via multi-task regularized regressionKriti Puniyani, Seyoung Kim, Eric P Xing
Bioinformatics (Oxford, England)|June 10, 2010
SPEX2: automated concise extraction of spatial gene expression patterns from Fly embryo ISH imagesKriti Puniyani, Christos Faloutsos, Eric P Xing
Bioinformatics (Oxford, England)|May 30, 2009
KELLER: estimating time-varying interactions between genesLe Song, Mladen Kolar, Eric P Xing
Bioinformatics (Oxford, England)|May 30, 2009
DISCOVER: a feature-based discriminative method for motif search in complex genomesWenjie Fu, Pradipta Ray, Eric P Xing
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|March 14, 2019
Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare ApplicationsHaohan Wang, Zhenglin Wu, Eric P Xing
Methods (San Diego, Calif.)|April 30, 2018
Variable selection in heterogeneous datasets: A truncated-rank sparse linear mixed model with applications to genome-wide association studiesHaohan Wang, Bryon Aragam, Eric P Xing
Pageof 9