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Jung-Hsien Chiang

Showing results (1-10 of 63) with videos related to

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Bioinformatics (Oxford, England)|July 23, 2003
MeKE: discovering the functions of gene products from biomedical literature via sentence alignmentJung-Hsien Chiang, Hsu-Chun Yu
BMC Bioinformatics|March 16, 2007
Modeling human cancer-related regulatory modules by GA-RNN hybrid algorithmsJung-Hsien Chiang, Shih-Yi Chao
Journal of Bioinformatics and Computational Biology|November 12, 2014
Discovering novel protein-protein interactions by measuring the protein semantic similarity from the biomedical literatureJung-Hsien Chiang, Jiun-Huang Ju
Bioinformatics (Oxford, England)|November 2, 2013
NCS: incorporating positioning data to quantify nucleosome stability in yeastJung-Hsien Chiang, Chan-Hsien Lin
IEEE/ACM Transactions on Computational Biology and Bioinformatics|February 5, 2008
Novel algorithm for coexpression detection in time-varying microarray data setsZong-Xian Yin, Jung-Hsien Chiang
International Journal of Neural Systems|September 15, 2006
Pruning and model-selecting algorithms in the RBF frameworks constructed by support vector learningPei-Yi Hao, Jung-Hsien Chiang
BMC Systems Biology|February 26, 2014
CGPredictor: a systematic integrated analytic tool for mining and examining genome-scale cancer independent prognostic epigenetic marker panelsWan-Shu Cheng, Jung-Hsien Chiang
Database : the Journal of Biological Databases and Curation|October 31, 2018
Gene ontology concept recognition using named concept: understanding the various presentations of the gene functions in biomedical literatureChia-Jung Yang, Jung-Hsien Chiang
IEEE Journal of Biomedical and Health Informatics|June 29, 2021
WinBinVec: Cancer-Associated Protein-Protein Interaction Extraction and Identification of 20 Various Cancer Types and Metastasis Using Different Deep Learning ModelsSina Abdollahi, Peng-Chan Lin, Jung-Hsien Chiang
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 27, 2021
DiaDeL: An Accurate Deep Learning-Based Model With Mutational Signatures for Predicting Metastasis Stage and Cancer TypesSina Abdollahi, Peng-Chan Lin, Jung-Hsien Chiang
Pageof 7

Showing results (1-10 of 63) with videos related to

Sort By:
Pageof 7
Bioinformatics (Oxford, England)|July 23, 2003
MeKE: discovering the functions of gene products from biomedical literature via sentence alignmentJung-Hsien Chiang, Hsu-Chun Yu
BMC Bioinformatics|March 16, 2007
Modeling human cancer-related regulatory modules by GA-RNN hybrid algorithmsJung-Hsien Chiang, Shih-Yi Chao
Journal of Bioinformatics and Computational Biology|November 12, 2014
Discovering novel protein-protein interactions by measuring the protein semantic similarity from the biomedical literatureJung-Hsien Chiang, Jiun-Huang Ju
Bioinformatics (Oxford, England)|November 2, 2013
NCS: incorporating positioning data to quantify nucleosome stability in yeastJung-Hsien Chiang, Chan-Hsien Lin
IEEE/ACM Transactions on Computational Biology and Bioinformatics|February 5, 2008
Novel algorithm for coexpression detection in time-varying microarray data setsZong-Xian Yin, Jung-Hsien Chiang
International Journal of Neural Systems|September 15, 2006
Pruning and model-selecting algorithms in the RBF frameworks constructed by support vector learningPei-Yi Hao, Jung-Hsien Chiang
BMC Systems Biology|February 26, 2014
CGPredictor: a systematic integrated analytic tool for mining and examining genome-scale cancer independent prognostic epigenetic marker panelsWan-Shu Cheng, Jung-Hsien Chiang
Database : the Journal of Biological Databases and Curation|October 31, 2018
Gene ontology concept recognition using named concept: understanding the various presentations of the gene functions in biomedical literatureChia-Jung Yang, Jung-Hsien Chiang
IEEE Journal of Biomedical and Health Informatics|June 29, 2021
WinBinVec: Cancer-Associated Protein-Protein Interaction Extraction and Identification of 20 Various Cancer Types and Metastasis Using Different Deep Learning ModelsSina Abdollahi, Peng-Chan Lin, Jung-Hsien Chiang
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 27, 2021
DiaDeL: An Accurate Deep Learning-Based Model With Mutational Signatures for Predicting Metastasis Stage and Cancer TypesSina Abdollahi, Peng-Chan Lin, Jung-Hsien Chiang
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