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Tianwei Yu

Showing results (1-10 of 131) with videos related to

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Plos Computational Biology|January 26, 2022
AIME: Autoencoder-based integrative multi-omics data embedding that allows for confounder adjustmentsTianwei Yu
BMC Bioinformatics|August 31, 2010
An exploratory data analysis method to reveal modular latent structures in high-throughput dataTianwei Yu
Plos Computational Biology|August 7, 2018
A new dynamic correlation algorithm reveals novel functional aspects in single cell and bulk RNA-seq dataTianwei Yu
Statistical Analysis and Data Mining|January 1, 2019
Nonlinear variable selection with continuous outcome: a fully nonparametric incremental forward stagewise approachTianwei Yu
Plos One|July 14, 2012
ROCS: receiver operating characteristic surface for class-skewed high-throughput dataTianwei Yu
Briefings in Bioinformatics|June 27, 2023
An integrated deep learning framework for the interpretation of untargeted metabolomics dataLeqi Tian, Tianwei Yu
Bioinformatics (Oxford, England)|June 1, 2018
A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression dataYunchuan Kong, Tianwei Yu
Genomics|October 6, 2011
Capturing changes in gene expression dynamics by gene set differential coordination analysisTianwei Yu, Yun Bai
Briefings in Bioinformatics|April 21, 2025
Nonlinear embedding and integration of omics data: a fast and tuning-free approachShengjie Liu, Tianwei Yu
Current Metabolomics|September 7, 2013
Analyzing LC/MS metabolic profiling data in the context of existing metabolic networksTianwei Yu, Yun Bai
Pageof 14

Showing results (1-10 of 131) with videos related to

Sort By:
Pageof 14
Plos Computational Biology|January 26, 2022
AIME: Autoencoder-based integrative multi-omics data embedding that allows for confounder adjustmentsTianwei Yu
BMC Bioinformatics|August 31, 2010
An exploratory data analysis method to reveal modular latent structures in high-throughput dataTianwei Yu
Plos Computational Biology|August 7, 2018
A new dynamic correlation algorithm reveals novel functional aspects in single cell and bulk RNA-seq dataTianwei Yu
Statistical Analysis and Data Mining|January 1, 2019
Nonlinear variable selection with continuous outcome: a fully nonparametric incremental forward stagewise approachTianwei Yu
Plos One|July 14, 2012
ROCS: receiver operating characteristic surface for class-skewed high-throughput dataTianwei Yu
Briefings in Bioinformatics|June 27, 2023
An integrated deep learning framework for the interpretation of untargeted metabolomics dataLeqi Tian, Tianwei Yu
Bioinformatics (Oxford, England)|June 1, 2018
A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression dataYunchuan Kong, Tianwei Yu
Genomics|October 6, 2011
Capturing changes in gene expression dynamics by gene set differential coordination analysisTianwei Yu, Yun Bai
Briefings in Bioinformatics|April 21, 2025
Nonlinear embedding and integration of omics data: a fast and tuning-free approachShengjie Liu, Tianwei Yu
Current Metabolomics|September 7, 2013
Analyzing LC/MS metabolic profiling data in the context of existing metabolic networksTianwei Yu, Yun Bai
Pageof 14