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Yaping Fang

Showing results (11-20 of 54) with videos related to

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Journal of Theoretical Biology|October 9, 2012
Prediction of core cancer genes using multi-task classification frameworkShan Gao, Shuo Xu, Yaping Fang, et al.
Frontiers in Public Health|April 25, 2022
Using Pandemic Data to Examine the Government's Pandemic Prevention Measures and Its Support Policies for Vulnerable GroupsXuefeng Li, Yaping Fang, Guoliang Chen, et al.
Amino Acids|June 16, 2010
Identification of RNA-binding sites in proteins by integrating various sequence informationCui-Cui Wang, Yaping Fang, Jiamin Xiao, et al.
Plos One|June 14, 2024
Knowledge, attitude, and practice towards bacterial multidrug-resistance and structural equation modeling analysis among intensive care unit nurses and physiciansZhongping Ai, Yaping Fang, Xiaolan Gao, et al.
Scientific Reports|September 2, 2016
In silico identification of enhancers on the basis of a combination of transcription factor binding motif occurrencesYaping Fang, Yunlong Wang, Qin Zhu, et al.
BMC Bioinformatics|October 30, 2013
Identification of properties important to protein aggregation using feature selectionYaping Fang, Shan Gao, David Tai, et al.
Bio-Medical Materials and Engineering|September 18, 2014
Using multiple linear regression and physicochemical changes of amino acid mutations to predict antigenic variants of influenza A/H3N2 virusesHaibo Cui, Xiaomei Wei, Yu Huang, et al.
Briefings in Bioinformatics|August 27, 2025
Pore-C Pipeline-Toolbox: a comprehensive pipeline for Pore-C data analysisZhenji Wang, Qiangqiang Fu, Fuming Lai, et al.
Molecules (Basel, Switzerland)|August 17, 2019
Label-Free Exosomal Detection and Classification in Rapid Discriminating Different Cancer Types Based on Specific Raman Phenotypes and Multivariate Statistical AnalysisPing Zhang, Limin Wang, Yaping Fang, et al.
Briefings in Bioinformatics|December 21, 2024
A review of deep learning models for the prediction of chromatin interactions with DNA and epigenomic profilesYunlong Wang, Siyuan Kong, Cong Zhou, et al.
Pageof 6

Showing results (11-20 of 54) with videos related to

Sort By:
Pageof 6
Journal of Theoretical Biology|October 9, 2012
Prediction of core cancer genes using multi-task classification frameworkShan Gao, Shuo Xu, Yaping Fang, et al.
Frontiers in Public Health|April 25, 2022
Using Pandemic Data to Examine the Government's Pandemic Prevention Measures and Its Support Policies for Vulnerable GroupsXuefeng Li, Yaping Fang, Guoliang Chen, et al.
Amino Acids|June 16, 2010
Identification of RNA-binding sites in proteins by integrating various sequence informationCui-Cui Wang, Yaping Fang, Jiamin Xiao, et al.
Plos One|June 14, 2024
Knowledge, attitude, and practice towards bacterial multidrug-resistance and structural equation modeling analysis among intensive care unit nurses and physiciansZhongping Ai, Yaping Fang, Xiaolan Gao, et al.
Scientific Reports|September 2, 2016
In silico identification of enhancers on the basis of a combination of transcription factor binding motif occurrencesYaping Fang, Yunlong Wang, Qin Zhu, et al.
BMC Bioinformatics|October 30, 2013
Identification of properties important to protein aggregation using feature selectionYaping Fang, Shan Gao, David Tai, et al.
Bio-Medical Materials and Engineering|September 18, 2014
Using multiple linear regression and physicochemical changes of amino acid mutations to predict antigenic variants of influenza A/H3N2 virusesHaibo Cui, Xiaomei Wei, Yu Huang, et al.
Briefings in Bioinformatics|August 27, 2025
Pore-C Pipeline-Toolbox: a comprehensive pipeline for Pore-C data analysisZhenji Wang, Qiangqiang Fu, Fuming Lai, et al.
Molecules (Basel, Switzerland)|August 17, 2019
Label-Free Exosomal Detection and Classification in Rapid Discriminating Different Cancer Types Based on Specific Raman Phenotypes and Multivariate Statistical AnalysisPing Zhang, Limin Wang, Yaping Fang, et al.
Briefings in Bioinformatics|December 21, 2024
A review of deep learning models for the prediction of chromatin interactions with DNA and epigenomic profilesYunlong Wang, Siyuan Kong, Cong Zhou, et al.
Pageof 6