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Gui-Ying Yan

Showing results (11-20 of 32) with videos related to

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BMC Systems Biology|February 4, 2017
Improved protein-protein interactions prediction via weighted sparse representation model combining continuous wavelet descriptor and PseAA compositionYu-An Huang, Zhu-Hong You, Xing Chen, et al.
Plos One|September 1, 2012
Prediction of disease-related interactions between microRNAs and environmental factors based on a semi-supervised classifierXing Chen, Ming-Xi Liu, Qing-Hua Cui, et al.
Journal of Biomedical Informatics|November 4, 2017
HAMDA: Hybrid Approach for MiRNA-Disease Association predictionXing Chen, Ya-Wei Niu, Guang-Hui Wang, et al.
Journal of Cellular and Molecular Medicine|December 23, 2017
GIMDA: Graphlet interaction-based MiRNA-disease association predictionXing Chen, Na-Na Guan, Jian-Qiang Li, et al.
Frontiers in Microbiology|July 30, 2019
RWHMDA: Random Walk on Hypergraph for Microbe-Disease Association PredictionYa-Wei Niu, Cun-Quan Qu, Guang-Hui Wang, et al.
Oncotarget|February 9, 2018
SSCMDA: spy and super cluster strategy for MiRNA-disease association predictionQi Zhao, Di Xie, Hongsheng Liu, et al.
Plos One|January 7, 2014
A computational framework to infer human disease-associated long noncoding RNAsMing-Xi Liu, Xing Chen, Geng Chen, et al.
Oncotarget|February 9, 2017
MCMDA: Matrix completion for MiRNA-disease association predictionJian-Qiang Li, Zhi-Hao Rong, Xing Chen, et al.
Bioinformatics (Oxford, England)|December 28, 2016
A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseasesXing Chen, Yu-An Huang, Zhu-Hong You, et al.
Oncotarget|August 18, 2016
HGIMDA: Heterogeneous graph inference for miRNA-disease association predictionXing Chen, Chenggang Clarence Yan, Xu Zhang, et al.
Pageof 4

Showing results (11-20 of 32) with videos related to

Sort By:
Pageof 4
BMC Systems Biology|February 4, 2017
Improved protein-protein interactions prediction via weighted sparse representation model combining continuous wavelet descriptor and PseAA compositionYu-An Huang, Zhu-Hong You, Xing Chen, et al.
Plos One|September 1, 2012
Prediction of disease-related interactions between microRNAs and environmental factors based on a semi-supervised classifierXing Chen, Ming-Xi Liu, Qing-Hua Cui, et al.
Journal of Biomedical Informatics|November 4, 2017
HAMDA: Hybrid Approach for MiRNA-Disease Association predictionXing Chen, Ya-Wei Niu, Guang-Hui Wang, et al.
Journal of Cellular and Molecular Medicine|December 23, 2017
GIMDA: Graphlet interaction-based MiRNA-disease association predictionXing Chen, Na-Na Guan, Jian-Qiang Li, et al.
Frontiers in Microbiology|July 30, 2019
RWHMDA: Random Walk on Hypergraph for Microbe-Disease Association PredictionYa-Wei Niu, Cun-Quan Qu, Guang-Hui Wang, et al.
Oncotarget|February 9, 2018
SSCMDA: spy and super cluster strategy for MiRNA-disease association predictionQi Zhao, Di Xie, Hongsheng Liu, et al.
Plos One|January 7, 2014
A computational framework to infer human disease-associated long noncoding RNAsMing-Xi Liu, Xing Chen, Geng Chen, et al.
Oncotarget|February 9, 2017
MCMDA: Matrix completion for MiRNA-disease association predictionJian-Qiang Li, Zhi-Hao Rong, Xing Chen, et al.
Bioinformatics (Oxford, England)|December 28, 2016
A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseasesXing Chen, Yu-An Huang, Zhu-Hong You, et al.
Oncotarget|August 18, 2016
HGIMDA: Heterogeneous graph inference for miRNA-disease association predictionXing Chen, Chenggang Clarence Yan, Xu Zhang, et al.
Pageof 4