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Wei-Sheng Wu

Showing results (11-20 of 84) with videos related to

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Evolutionary Bioinformatics Online|May 27, 2009
Underlying principles of natural selection in network evolution: systems biology approachBor-Sen Chen, Wei-Sheng Wu
BMC Systems Biology|August 18, 2012
Identifying biologically interpretable transcription factor knockout targets by jointly analyzing the transcription factor knockout microarray and the ChIP-chip dataTzu-Hsien Yang, Wei-Sheng Wu
BMC Bioinformatics|January 15, 2017
MVIAeval: a web tool for comprehensively evaluating the performance of a new missing value imputation algorithmWei-Sheng Wu, Meng-Jhun Jhou
BMC Bioinformatics|December 9, 2008
Systematic identification of yeast cell cycle transcription factors using multiple data sourcesWei-Sheng Wu, Wen-Hsiung Li
International Journal of Molecular Sciences|August 31, 2019
Systematical Analysis of the Protein Targets of Lactoferricin B and Histatin-5 Using Yeast Proteome MicroarraysPramod Shah, Wei-Sheng Wu, Chien-Sheng Chen
Gene|June 28, 2011
Yeast cell cycle transcription factors identification by variable selection criteriaHsiuying Wang, Yu-Han Wang, Wei-Sheng Wu
Gene Regulation and Systems Biology|January 20, 2011
Identifying a Transcription Factor's Regulatory Targets from its Binding TargetsFred Lai, Julie S Chang, Wei-Sheng Wu
Plos One|July 9, 2016
YCRD: Yeast Combinatorial Regulation DatabaseWei-Sheng Wu, Yen-Chen Hsieh, Fu-Jou Lai
BMC Bioinformatics|December 19, 2015
PCTFPeval: a web tool for benchmarking newly developed algorithms for predicting cooperative transcription factor pairs in yeastFu-Jou Lai, Hong-Tsun Chang, Wei-Sheng Wu
Gene Regulation and Systems Biology|September 30, 2009
Reconstructing a network of stress-response regulators via dynamic system modeling of gene regulationWei-Sheng Wu, Wen-Hsiung Li, Bor-Sen Chen
Pageof 9

Showing results (11-20 of 84) with videos related to

Sort By:
Pageof 9
Evolutionary Bioinformatics Online|May 27, 2009
Underlying principles of natural selection in network evolution: systems biology approachBor-Sen Chen, Wei-Sheng Wu
BMC Systems Biology|August 18, 2012
Identifying biologically interpretable transcription factor knockout targets by jointly analyzing the transcription factor knockout microarray and the ChIP-chip dataTzu-Hsien Yang, Wei-Sheng Wu
BMC Bioinformatics|January 15, 2017
MVIAeval: a web tool for comprehensively evaluating the performance of a new missing value imputation algorithmWei-Sheng Wu, Meng-Jhun Jhou
BMC Bioinformatics|December 9, 2008
Systematic identification of yeast cell cycle transcription factors using multiple data sourcesWei-Sheng Wu, Wen-Hsiung Li
International Journal of Molecular Sciences|August 31, 2019
Systematical Analysis of the Protein Targets of Lactoferricin B and Histatin-5 Using Yeast Proteome MicroarraysPramod Shah, Wei-Sheng Wu, Chien-Sheng Chen
Gene|June 28, 2011
Yeast cell cycle transcription factors identification by variable selection criteriaHsiuying Wang, Yu-Han Wang, Wei-Sheng Wu
Gene Regulation and Systems Biology|January 20, 2011
Identifying a Transcription Factor's Regulatory Targets from its Binding TargetsFred Lai, Julie S Chang, Wei-Sheng Wu
Plos One|July 9, 2016
YCRD: Yeast Combinatorial Regulation DatabaseWei-Sheng Wu, Yen-Chen Hsieh, Fu-Jou Lai
BMC Bioinformatics|December 19, 2015
PCTFPeval: a web tool for benchmarking newly developed algorithms for predicting cooperative transcription factor pairs in yeastFu-Jou Lai, Hong-Tsun Chang, Wei-Sheng Wu
Gene Regulation and Systems Biology|September 30, 2009
Reconstructing a network of stress-response regulators via dynamic system modeling of gene regulationWei-Sheng Wu, Wen-Hsiung Li, Bor-Sen Chen
Pageof 9