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

Liang-Yong Xia

Showing results (1-10 of 9) with videos related to

Pageof 1
Sort By:
Frontiers in Aging Neuroscience|April 11, 2022
Identification of Potential Driver Genes and Pathways Based on Transcriptomics Data in Alzheimer's DiseaseLiang-Yong Xia, Lihong Tang, Hui Huang, et al.
Journal of Chemical Information and Modeling|July 2, 2019
Improved Prediction of Drug-Target Interactions Using Self-Paced Learning with Collaborative Matrix FactorizationLiang-Yong Xia, Zi-Yi Yang, Hui Zhang, et al.
International Journal of Neural Systems|August 9, 2019
Descriptor Selection Improvements for Quantitative Structure-Activity RelationshipsLiang-Yong Xia, Qing-Yong Wang, Zehong Cao, et al.
Scientific Reports|October 14, 2017
A new semi-supervised learning model combined with Cox and SP-AFT models in cancer survival analysisHua Chai, Zi-Na Li, De-Yu Meng, et al.
Scientific Reports|June 21, 2019
Improved Classification of Blood-Brain-Barrier Drugs Using Deep LearningRui Miao, Liang-Yong Xia, Hao-Heng Chen, et al.
Bio-Medical Materials and Engineering|September 26, 2015
Identification of 13 blood-based gene expression signatures to accurately distinguish tuberculosis from other pulmonary diseases and healthy controlsHai-Hui Huang, Xiao-Ying Liu, Yong Liang, et al.
International Journal of Molecular Sciences|December 23, 2017
Descriptor Selection via Log-Sum Regularization for the Biological Activities of Chemical StructureLiang-Yong Xia, Yu-Wei Wang, De-Yu Meng, et al.
Scientific Reports|April 3, 2020
Meta-Analysis Based on Nonconvex RegularizationHui Zhang, Shou-Jiang Li, Hai Zhang, et al.
Pharmacological Research|May 31, 2020
Beyond the limitation of targeted therapy: Improve the application of targeted drugs combining genomic data with machine learningRui Miao, Hao-Heng Chen, Qi Dang, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Frontiers in Aging Neuroscience|April 11, 2022
Identification of Potential Driver Genes and Pathways Based on Transcriptomics Data in Alzheimer's DiseaseLiang-Yong Xia, Lihong Tang, Hui Huang, et al.
Journal of Chemical Information and Modeling|July 2, 2019
Improved Prediction of Drug-Target Interactions Using Self-Paced Learning with Collaborative Matrix FactorizationLiang-Yong Xia, Zi-Yi Yang, Hui Zhang, et al.
International Journal of Neural Systems|August 9, 2019
Descriptor Selection Improvements for Quantitative Structure-Activity RelationshipsLiang-Yong Xia, Qing-Yong Wang, Zehong Cao, et al.
Scientific Reports|October 14, 2017
A new semi-supervised learning model combined with Cox and SP-AFT models in cancer survival analysisHua Chai, Zi-Na Li, De-Yu Meng, et al.
Scientific Reports|June 21, 2019
Improved Classification of Blood-Brain-Barrier Drugs Using Deep LearningRui Miao, Liang-Yong Xia, Hao-Heng Chen, et al.
Bio-Medical Materials and Engineering|September 26, 2015
Identification of 13 blood-based gene expression signatures to accurately distinguish tuberculosis from other pulmonary diseases and healthy controlsHai-Hui Huang, Xiao-Ying Liu, Yong Liang, et al.
International Journal of Molecular Sciences|December 23, 2017
Descriptor Selection via Log-Sum Regularization for the Biological Activities of Chemical StructureLiang-Yong Xia, Yu-Wei Wang, De-Yu Meng, et al.
Scientific Reports|April 3, 2020
Meta-Analysis Based on Nonconvex RegularizationHui Zhang, Shou-Jiang Li, Hai Zhang, et al.
Pharmacological Research|May 31, 2020
Beyond the limitation of targeted therapy: Improve the application of targeted drugs combining genomic data with machine learningRui Miao, Hao-Heng Chen, Qi Dang, et al.
Pageof 1