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BMC Genomics|November 18, 2011
Improving gene expression data interpretation by finding latent factors that co-regulate gene modules with clinical factorsTianwei Yu, Yun BaiScientific Reports|November 9, 2018
A Deep Neural Network Model using Random Forest to Extract Feature Representation for Gene Expression Data ClassificationYunchuan Kong, Tianwei YuBMC Bioinformatics|November 16, 2010
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selectionTianwei Yu, Hesen PengBioinformatics (Oxford, England)|September 8, 2005
Inference of transcriptional regulatory network by two-stage constrained space factor analysisTianwei Yu, Ker-Chau LiBioinformatics (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 JonesBriefings in Bioinformatics|November 25, 2024
ADM: adaptive graph diffusion for meta-dimension reductionJunning Feng, Yong Liang, Tianwei YuBriefings in Bioinformatics|February 21, 2021
Accurate feature selection improves single-cell RNA-seq cell clusteringKenong Su, Tianwei Yu, Hao WuIEEE/ACM Transactions on Computational Biology and Bioinformatics|August 25, 2010
Incorporating Nonlinear Relationships in Microarray Missing Value ImputationTianwei Yu, Hesen Peng, Wei SunCommunications Biology|March 28, 2026
HarveST uses a heterogeneous graph learning framework to reveal spatial transcriptomics patternsJunning Feng, Tianwei Yu, Yanlin ZhangBayesian Analysis|August 18, 2020
Bayesian Network Marker Selection via the Thresholded Graph Laplacian Gaussian PriorQingpo Cai, Jian Kang, Tianwei YuPageof 14