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Weida Tong

Showing results (71-80 of 353) with videos related to

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International Journal of Bioinformatics Research and Applications|September 5, 2013
Estimating relative noise to signal in DNA microarray dataHuixiao Hong, Qilong Hong, Jie Liu, et al.
Frontiers in Pharmacology|October 26, 2020
Editorial: Advancing Genomics for Rare Disease Diagnosis and Therapy DevelopmentZhichao Liu, Ruth Roberts, Tieliu Shi, et al.
Drug Metabolism and Disposition: the Biological Fate of Chemicals|November 26, 2025
Microphysiological systems as an emerging in vitro approach for the evaluation of drug absorption, distribution, metabolism, and excretion and toxicityShivangi Shrimali, Dongying Li, Bridgett Knox, et al.
Plos One|June 16, 2010
Does applicability domain exist in microarray-based genomic research?Li Shao, Leihong Wu, Hong Fang, et al.
Scientific Reports|May 20, 2020
Cancer genomics predicts disease relapse and therapeutic response to neoadjuvant chemotherapy of hormone sensitive breast cancersJieqiang Zhu, Levan Muskhelishvili, Weida Tong, et al.
BMC Medicine|June 1, 2011
Meta-analysis of microarray data using a pathway-based approach identifies a 37-gene expression signature for systemic lupus erythematosus in human peripheral blood mononuclear cellsDhivya Arasappan, Weida Tong, Padmaja Mummaneni, et al.
Chemical Research in Toxicology|March 27, 2025
DICTrank Is a Reliable Dataset for Cardiotoxicity Prediction Using Machine Learning MethodsYanyan Qu, Ting Li, Zhichao Liu, et al.
Scientific Reports|September 10, 2017
Direct comparison of performance of single nucleotide variant calling in human genome with alignment-based and assembly-based approachesLeihong Wu, Gokhan Yavas, Huixiao Hong, et al.
Frontiers in Artificial Intelligence|December 15, 2022
Corrigendum: DeepCarc: Deep learning-powered carcinogenicity prediction using model-level representationTing Li, Weida Tong, Ruth Roberts, et al.
Frontiers in Bioengineering and Biotechnology|December 17, 2020
Deep Learning on High-Throughput Transcriptomics to Predict Drug-Induced Liver InjuryTing Li, Weida Tong, Ruth Roberts, et al.
Pageof 36

Showing results (71-80 of 353) with videos related to

Sort By:
Pageof 36
International Journal of Bioinformatics Research and Applications|September 5, 2013
Estimating relative noise to signal in DNA microarray dataHuixiao Hong, Qilong Hong, Jie Liu, et al.
Frontiers in Pharmacology|October 26, 2020
Editorial: Advancing Genomics for Rare Disease Diagnosis and Therapy DevelopmentZhichao Liu, Ruth Roberts, Tieliu Shi, et al.
Drug Metabolism and Disposition: the Biological Fate of Chemicals|November 26, 2025
Microphysiological systems as an emerging in vitro approach for the evaluation of drug absorption, distribution, metabolism, and excretion and toxicityShivangi Shrimali, Dongying Li, Bridgett Knox, et al.
Plos One|June 16, 2010
Does applicability domain exist in microarray-based genomic research?Li Shao, Leihong Wu, Hong Fang, et al.
Scientific Reports|May 20, 2020
Cancer genomics predicts disease relapse and therapeutic response to neoadjuvant chemotherapy of hormone sensitive breast cancersJieqiang Zhu, Levan Muskhelishvili, Weida Tong, et al.
BMC Medicine|June 1, 2011
Meta-analysis of microarray data using a pathway-based approach identifies a 37-gene expression signature for systemic lupus erythematosus in human peripheral blood mononuclear cellsDhivya Arasappan, Weida Tong, Padmaja Mummaneni, et al.
Chemical Research in Toxicology|March 27, 2025
DICTrank Is a Reliable Dataset for Cardiotoxicity Prediction Using Machine Learning MethodsYanyan Qu, Ting Li, Zhichao Liu, et al.
Scientific Reports|September 10, 2017
Direct comparison of performance of single nucleotide variant calling in human genome with alignment-based and assembly-based approachesLeihong Wu, Gokhan Yavas, Huixiao Hong, et al.
Frontiers in Artificial Intelligence|December 15, 2022
Corrigendum: DeepCarc: Deep learning-powered carcinogenicity prediction using model-level representationTing Li, Weida Tong, Ruth Roberts, et al.
Frontiers in Bioengineering and Biotechnology|December 17, 2020
Deep Learning on High-Throughput Transcriptomics to Predict Drug-Induced Liver InjuryTing Li, Weida Tong, Ruth Roberts, et al.
Pageof 36