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Qifan Kuang

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

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Plos One|September 3, 2014
A systematic investigation of computation models for predicting Adverse Drug Reactions (ADRs)Qifan Kuang, MinQi Wang, Rong Li, et al.
Journal of Computer-Aided Molecular Design|December 21, 2014
A comparative study of family-specific protein-ligand complex affinity prediction based on random forest approachYu Wang, Yanzhi Guo, Qifan Kuang, et al.
Plos One|March 28, 2017
Computational identifying and characterizing circular RNAs and their associated genes in hepatocellular carcinomaYan Li, Yongcheng Dong, Ziyan Huang, et al.
Computational Biology and Chemistry|January 21, 2014
Improving the prediction of chemotherapeutic sensitivity of tumors in breast cancer via optimizing the selection of candidate genesLina Jiang, Liqiu Huang, Qifan Kuang, et al.
BMC Genomics|August 31, 2017
Expression dynamics and relations with nearby genes of rat transposable elements across 11 organs, 4 developmental stages and both sexesYongcheng Dong, Ziyan Huang, Qifan Kuang, et al.
Biomed Research International|May 12, 2015
Improving the Understanding of Pathogenesis of Human Papillomavirus 16 via Mapping Protein-Protein Interaction NetworkYongcheng Dong, Qifan Kuang, Xu Dai, et al.
Scientific Reports|September 10, 2015
An eigenvalue transformation technique for predicting drug-target interactionQifan Kuang, Xin Xu, Rong Li, et al.
BMC Bioinformatics|January 4, 2018
Mutation status coupled with RNA-sequencing data can efficiently identify important non-significantly mutated genes serving as diagnostic biomarkers of endometrial cancerKeqin Liu, Li He, Zhichao Liu, et al.
Amino Acids|May 23, 2014
Combination use of protein-protein interaction network topological features improves the predictive scores of deleterious non-synonymous single-nucleotide polymorphismsYiming Wu, Runyu Jing, Lin Jiang, et al.
Scientific Reports|March 7, 2017
Functional annotation of sixty-five type-2 diabetes risk SNPs and its application in risk predictionYiming Wu, Runyu Jing, Yongcheng Dong, et al.
Pageof 1

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

Sort By:
Pageof 1
Plos One|September 3, 2014
A systematic investigation of computation models for predicting Adverse Drug Reactions (ADRs)Qifan Kuang, MinQi Wang, Rong Li, et al.
Journal of Computer-Aided Molecular Design|December 21, 2014
A comparative study of family-specific protein-ligand complex affinity prediction based on random forest approachYu Wang, Yanzhi Guo, Qifan Kuang, et al.
Plos One|March 28, 2017
Computational identifying and characterizing circular RNAs and their associated genes in hepatocellular carcinomaYan Li, Yongcheng Dong, Ziyan Huang, et al.
Computational Biology and Chemistry|January 21, 2014
Improving the prediction of chemotherapeutic sensitivity of tumors in breast cancer via optimizing the selection of candidate genesLina Jiang, Liqiu Huang, Qifan Kuang, et al.
BMC Genomics|August 31, 2017
Expression dynamics and relations with nearby genes of rat transposable elements across 11 organs, 4 developmental stages and both sexesYongcheng Dong, Ziyan Huang, Qifan Kuang, et al.
Biomed Research International|May 12, 2015
Improving the Understanding of Pathogenesis of Human Papillomavirus 16 via Mapping Protein-Protein Interaction NetworkYongcheng Dong, Qifan Kuang, Xu Dai, et al.
Scientific Reports|September 10, 2015
An eigenvalue transformation technique for predicting drug-target interactionQifan Kuang, Xin Xu, Rong Li, et al.
BMC Bioinformatics|January 4, 2018
Mutation status coupled with RNA-sequencing data can efficiently identify important non-significantly mutated genes serving as diagnostic biomarkers of endometrial cancerKeqin Liu, Li He, Zhichao Liu, et al.
Amino Acids|May 23, 2014
Combination use of protein-protein interaction network topological features improves the predictive scores of deleterious non-synonymous single-nucleotide polymorphismsYiming Wu, Runyu Jing, Lin Jiang, et al.
Scientific Reports|March 7, 2017
Functional annotation of sixty-five type-2 diabetes risk SNPs and its application in risk predictionYiming Wu, Runyu Jing, Yongcheng Dong, et al.
Pageof 1