Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Renxiang Yan

Showing results (1-10 of 22) with videos related to

Pageof 3
Sort By:
Journal of Molecular Modeling|February 17, 2020
DDAPRED: a computational method for predicting drug repositioning using regularized logistic matrix factorizationXiaofeng Wang, Renxiang Yan
Plant Molecular Biology|January 18, 2018
RFAthM6A: a new tool for predicting m<sup>6</sup>A sites in Arabidopsis thalianaXiaofeng Wang, Renxiang Yan
Scientific Reports|March 23, 2016
DephosSite: a machine learning approach for discovering phosphotase-specific dephosphorylation sitesXiaofeng Wang, Renxiang Yan, Jiangning Song
Molecular Omics|September 13, 2021
Computational identification of human ubiquitination sites using convolutional and recurrent neural networksXiaofeng Wang, Renxiang Yan, Yongji Wang
Molecular Biosystems|April 29, 2015
AAFreqCoil: a new classifier to distinguish parallel dimeric and trimeric coiled coilsXiaofeng Wang, Yuan Zhou, Renxiang Yan
Plant Methods|February 15, 2024
PlantNh-Kcr: a deep learning model for predicting non-histone crotonylation sites in plantsYanming Jiang, Renxiang Yan, Xiaofeng Wang
Molecular Biosystems|July 2, 2016
SOHPRED: a new bioinformatics tool for the characterization and prediction of human S-sulfenylation sitesXiaofeng Wang, Renxiang Yan, Jinyan Li, et al.
Plant Molecular Biology|February 2, 2021
Computational identification of ubiquitination sites in Arabidopsis thaliana using convolutional neural networksXiaofeng Wang, Renxiang Yan, Yong-Zi Chen, et al.
Frontiers in Microbiology|January 20, 2017
A Novel Multi-domain High Molecular, Salt-Stable Alkaline Xylanase from <i>Alkalibacterium</i> sp. SL3Guozeng Wang, Jingjing Wu, Renxiang Yan, et al.
Scientific Reports|September 11, 2013
A comparative assessment and analysis of 20 representative sequence alignment methods for protein structure predictionRenxiang Yan, Dong Xu, Jianyi Yang, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Journal of Molecular Modeling|February 17, 2020
DDAPRED: a computational method for predicting drug repositioning using regularized logistic matrix factorizationXiaofeng Wang, Renxiang Yan
Plant Molecular Biology|January 18, 2018
RFAthM6A: a new tool for predicting m<sup>6</sup>A sites in Arabidopsis thalianaXiaofeng Wang, Renxiang Yan
Scientific Reports|March 23, 2016
DephosSite: a machine learning approach for discovering phosphotase-specific dephosphorylation sitesXiaofeng Wang, Renxiang Yan, Jiangning Song
Molecular Omics|September 13, 2021
Computational identification of human ubiquitination sites using convolutional and recurrent neural networksXiaofeng Wang, Renxiang Yan, Yongji Wang
Molecular Biosystems|April 29, 2015
AAFreqCoil: a new classifier to distinguish parallel dimeric and trimeric coiled coilsXiaofeng Wang, Yuan Zhou, Renxiang Yan
Plant Methods|February 15, 2024
PlantNh-Kcr: a deep learning model for predicting non-histone crotonylation sites in plantsYanming Jiang, Renxiang Yan, Xiaofeng Wang
Molecular Biosystems|July 2, 2016
SOHPRED: a new bioinformatics tool for the characterization and prediction of human S-sulfenylation sitesXiaofeng Wang, Renxiang Yan, Jinyan Li, et al.
Plant Molecular Biology|February 2, 2021
Computational identification of ubiquitination sites in Arabidopsis thaliana using convolutional neural networksXiaofeng Wang, Renxiang Yan, Yong-Zi Chen, et al.
Frontiers in Microbiology|January 20, 2017
A Novel Multi-domain High Molecular, Salt-Stable Alkaline Xylanase from <i>Alkalibacterium</i> sp. SL3Guozeng Wang, Jingjing Wu, Renxiang Yan, et al.
Scientific Reports|September 11, 2013
A comparative assessment and analysis of 20 representative sequence alignment methods for protein structure predictionRenxiang Yan, Dong Xu, Jianyi Yang, et al.
Pageof 3