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Tianwei Yu

Showing results (21-30 of 131) with videos related to

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Briefings in Bioinformatics|November 25, 2024
ADM: adaptive graph diffusion for meta-dimension reductionJunning Feng, Yong Liang, Tianwei Yu
Briefings in Bioinformatics|February 21, 2021
Accurate feature selection improves single-cell RNA-seq cell clusteringKenong Su, Tianwei Yu, Hao Wu
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 25, 2010
Incorporating Nonlinear Relationships in Microarray Missing Value ImputationTianwei Yu, Hesen Peng, Wei Sun
Communications Biology|March 28, 2026
HarveST uses a heterogeneous graph learning framework to reveal spatial transcriptomics patternsJunning Feng, Tianwei Yu, Yanlin Zhang
Bayesian Analysis|August 18, 2020
Bayesian Network Marker Selection via the Thresholded Graph Laplacian Gaussian PriorQingpo Cai, Jian Kang, Tianwei Yu
Briefings in Bioinformatics|October 25, 2024
A robust statistical approach for finding informative spatially associated pathwaysLeqi Tian, Jiashun Xiao, Tianwei Yu
The Annals of Applied Statistics|May 19, 2015
A BAYESIAN NONPARAMETRIC MIXTURE MODEL FOR SELECTING GENES AND GENE SUBNETWORKSYize Zhao, Jian Kang, Tianwei Yu
Frontiers in Neuroscience|November 3, 2023
Bayesian nonparametric method for genetic dissection of brain activation regionZhuxuan Jin, Jian Kang, Tianwei Yu
Computers in Biology and Medicine|October 11, 2023
MM-GANN-DDI: Multimodal Graph-Agnostic Neural Networks for Predicting Drug-Drug Interaction EventsJunning Feng, Yong Liang, Tianwei Yu
Biomolecules|July 29, 2023
Graph Random Forest: A Graph Embedded Algorithm for Identifying Highly Connected Important FeaturesLeqi Tian, Wenbin Wu, Tianwei Yu
Pageof 14

Showing results (21-30 of 131) with videos related to

Sort By:
Pageof 14
Briefings in Bioinformatics|November 25, 2024
ADM: adaptive graph diffusion for meta-dimension reductionJunning Feng, Yong Liang, Tianwei Yu
Briefings in Bioinformatics|February 21, 2021
Accurate feature selection improves single-cell RNA-seq cell clusteringKenong Su, Tianwei Yu, Hao Wu
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 25, 2010
Incorporating Nonlinear Relationships in Microarray Missing Value ImputationTianwei Yu, Hesen Peng, Wei Sun
Communications Biology|March 28, 2026
HarveST uses a heterogeneous graph learning framework to reveal spatial transcriptomics patternsJunning Feng, Tianwei Yu, Yanlin Zhang
Bayesian Analysis|August 18, 2020
Bayesian Network Marker Selection via the Thresholded Graph Laplacian Gaussian PriorQingpo Cai, Jian Kang, Tianwei Yu
Briefings in Bioinformatics|October 25, 2024
A robust statistical approach for finding informative spatially associated pathwaysLeqi Tian, Jiashun Xiao, Tianwei Yu
The Annals of Applied Statistics|May 19, 2015
A BAYESIAN NONPARAMETRIC MIXTURE MODEL FOR SELECTING GENES AND GENE SUBNETWORKSYize Zhao, Jian Kang, Tianwei Yu
Frontiers in Neuroscience|November 3, 2023
Bayesian nonparametric method for genetic dissection of brain activation regionZhuxuan Jin, Jian Kang, Tianwei Yu
Computers in Biology and Medicine|October 11, 2023
MM-GANN-DDI: Multimodal Graph-Agnostic Neural Networks for Predicting Drug-Drug Interaction EventsJunning Feng, Yong Liang, Tianwei Yu
Biomolecules|July 29, 2023
Graph Random Forest: A Graph Embedded Algorithm for Identifying Highly Connected Important FeaturesLeqi Tian, Wenbin Wu, Tianwei Yu
Pageof 14