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Tianwei Yu

Showing results (11-20 of 131) with videos related to

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Bioinformatics (Oxford, England)|February 14, 2020
scBatch: batch-effect correction of RNA-seq data through sample distance matrix adjustmentTeng Fei, Tianwei Yu
BMC Genomics|May 24, 2019
A hypergraph-based method for large-scale dynamic correlation study at the transcriptomic scaleYunchuan Kong, Tianwei Yu
Bioinformatics (Oxford, England)|March 13, 2020
forgeNet: a graph deep neural network model using tree-based ensemble classifiers for feature graph constructionYunchuan Kong, Tianwei Yu
BMC Bioinformatics|December 2, 2014
Network-based modular latent structure analysisTianwei Yu, Yun Bai
IEEE/ACM Transactions on Computational Biology and Bioinformatics|December 17, 2013
Hierarchical clustering of high-throughput expression data based on general dependencesTianwei Yu, Hesen Peng
BMC Genomics|November 18, 2011
Improving gene expression data interpretation by finding latent factors that co-regulate gene modules with clinical factorsTianwei Yu, Yun Bai
Scientific Reports|November 9, 2018
A Deep Neural Network Model using Random Forest to Extract Feature Representation for Gene Expression Data ClassificationYunchuan Kong, Tianwei Yu
BMC Bioinformatics|November 16, 2010
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selectionTianwei Yu, Hesen Peng
Bioinformatics (Oxford, England)|September 8, 2005
Inference of transcriptional regulatory network by two-stage constrained space factor analysisTianwei Yu, Ker-Chau Li
Bioinformatics (Oxford, England)|July 10, 2014
Improving peak detection in high-resolution LC/MS metabolomics data using preexisting knowledge and machine learning approachTianwei Yu, Dean P Jones
Pageof 14

Showing results (11-20 of 131) with videos related to

Sort By:
Pageof 14
Bioinformatics (Oxford, England)|February 14, 2020
scBatch: batch-effect correction of RNA-seq data through sample distance matrix adjustmentTeng Fei, Tianwei Yu
BMC Genomics|May 24, 2019
A hypergraph-based method for large-scale dynamic correlation study at the transcriptomic scaleYunchuan Kong, Tianwei Yu
Bioinformatics (Oxford, England)|March 13, 2020
forgeNet: a graph deep neural network model using tree-based ensemble classifiers for feature graph constructionYunchuan Kong, Tianwei Yu
BMC Bioinformatics|December 2, 2014
Network-based modular latent structure analysisTianwei Yu, Yun Bai
IEEE/ACM Transactions on Computational Biology and Bioinformatics|December 17, 2013
Hierarchical clustering of high-throughput expression data based on general dependencesTianwei Yu, Hesen Peng
BMC Genomics|November 18, 2011
Improving gene expression data interpretation by finding latent factors that co-regulate gene modules with clinical factorsTianwei Yu, Yun Bai
Scientific Reports|November 9, 2018
A Deep Neural Network Model using Random Forest to Extract Feature Representation for Gene Expression Data ClassificationYunchuan Kong, Tianwei Yu
BMC Bioinformatics|November 16, 2010
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selectionTianwei Yu, Hesen Peng
Bioinformatics (Oxford, England)|September 8, 2005
Inference of transcriptional regulatory network by two-stage constrained space factor analysisTianwei Yu, Ker-Chau Li
Bioinformatics (Oxford, England)|July 10, 2014
Improving peak detection in high-resolution LC/MS metabolomics data using preexisting knowledge and machine learning approachTianwei Yu, Dean P Jones
Pageof 14