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Na-Na Guan

Showing results (1-10 of 11) with videos related to

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International Journal of Molecular Sciences|February 29, 2020
Computational Models in Non-Coding RNA and Human DiseaseXing Chen, Chun-Chun Wang, Na-Na Guan
Frontiers in Physiology|March 9, 2018
GRMDA: Graph Regression for MiRNA-Disease Association PredictionXing Chen, Jing-Ru Yang, Na-Na Guan, 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 Pharmacology|September 28, 2018
A Hybrid Interpolation Weighted Collaborative Filtering Method for Anti-cancer Drug Response PredictionLin Zhang, Xing Chen, Na-Na Guan, et al.
Bioinformatics (Oxford, England)|June 26, 2018
Predicting miRNA-disease association based on inductive matrix completionXing Chen, Lei Wang, Jia Qu, et al.
Briefings in Bioinformatics|October 17, 2018
MicroRNA-small molecule association identification: from experimental results to computational modelsXing Chen, Na-Na Guan, Ya-Zhou Sun, et al.
Frontiers in Pharmacology|October 31, 2018
Prediction of Potential Small Molecule-Associated MicroRNAs Using Graphlet InteractionNa-Na Guan, Ya-Zhou Sun, Zhong Ming, et al.
Molecular Genetics and Genomics : MGG|April 25, 2018
HNMDA: heterogeneous network-based miRNA-disease association predictionLi-Hong Peng, Chuan-Neng Sun, Na-Na Guan, et al.
Molecular Therapy. Nucleic Acids|July 3, 2019
Anticancer Drug Response Prediction in Cell Lines Using Weighted Graph Regularized Matrix FactorizationNa-Na Guan, Yan Zhao, Chun-Chun Wang, et al.
Journal of Cellular and Molecular Medicine|November 21, 2019
In silico prediction of potential miRNA-disease association using an integrative bioinformatics approach based on kernel fusionNa-Na Guan, Chun-Chun Wang, Li Zhang, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
International Journal of Molecular Sciences|February 29, 2020
Computational Models in Non-Coding RNA and Human DiseaseXing Chen, Chun-Chun Wang, Na-Na Guan
Frontiers in Physiology|March 9, 2018
GRMDA: Graph Regression for MiRNA-Disease Association PredictionXing Chen, Jing-Ru Yang, Na-Na Guan, 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 Pharmacology|September 28, 2018
A Hybrid Interpolation Weighted Collaborative Filtering Method for Anti-cancer Drug Response PredictionLin Zhang, Xing Chen, Na-Na Guan, et al.
Bioinformatics (Oxford, England)|June 26, 2018
Predicting miRNA-disease association based on inductive matrix completionXing Chen, Lei Wang, Jia Qu, et al.
Briefings in Bioinformatics|October 17, 2018
MicroRNA-small molecule association identification: from experimental results to computational modelsXing Chen, Na-Na Guan, Ya-Zhou Sun, et al.
Frontiers in Pharmacology|October 31, 2018
Prediction of Potential Small Molecule-Associated MicroRNAs Using Graphlet InteractionNa-Na Guan, Ya-Zhou Sun, Zhong Ming, et al.
Molecular Genetics and Genomics : MGG|April 25, 2018
HNMDA: heterogeneous network-based miRNA-disease association predictionLi-Hong Peng, Chuan-Neng Sun, Na-Na Guan, et al.
Molecular Therapy. Nucleic Acids|July 3, 2019
Anticancer Drug Response Prediction in Cell Lines Using Weighted Graph Regularized Matrix FactorizationNa-Na Guan, Yan Zhao, Chun-Chun Wang, et al.
Journal of Cellular and Molecular Medicine|November 21, 2019
In silico prediction of potential miRNA-disease association using an integrative bioinformatics approach based on kernel fusionNa-Na Guan, Chun-Chun Wang, Li Zhang, et al.
Pageof 2