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

Xiangzheng Fu

Showing results (1-10 of 78) with videos related to

Pageof 8
Sort By:
Mathematical Biosciences and Engineering : MBE|December 21, 2023
DlncRNALoc: A discrete wavelet transform-based model for predicting lncRNA subcellular localizationXiangzheng Fu, Yifan Chen, Sha Tian
Methods (San Diego, Calif.)|September 26, 2022
Predicting miRNA-lncRNA interactions on plant datasets based on bipartite network embedding methodLinlin Zhuo, Shiyao Pan, Jing Li, et al.
BMC Genomics|December 5, 2023
StableDNAm: towards a stable and efficient model for predicting DNA methylation based on adaptive feature correction learningLinlin Zhuo, Rui Wang, Xiangzheng Fu, et al.
RSC Advances|May 13, 2022
New 3D graphical representation for RNA structure analysis and its application in the pre-miRNA identification of plantsXiangzheng Fu, Bo Liao, Wen Zhu, et al.
Briefings in Bioinformatics|January 3, 2024
Joint deep autoencoder and subgraph augmentation for inferring microbial responses to drugsZhecheng Zhou, Linlin Zhuo, Xiangzheng Fu, et al.
ACS Omega|September 27, 2021
Active Semisupervised Model for Improving the Identification of Anticancer PeptidesLijun Cai, Li Wang, Xiangzheng Fu, et al.
Protein and Peptide Letters|March 25, 2014
Identifying protein complexes by reducing noise in interaction networksBo Liao, Xiangzheng Fu, Lijun Cai, et al.
Bioinformatics (Oxford, England)|February 28, 2020
StackCPPred: a stacking and pairwise energy content-based prediction of cell-penetrating peptides and their uptake efficiencyXiangzheng Fu, Lijun Cai, Xiangxiang Zeng, et al.
Frontiers in Microbiology|January 1, 2024
An efficient model for predicting human diseases through miRNA based on multiple-types of contrastive learningQingquan Liao, Xiangzheng Fu, Linlin Zhuo, et al.
Briefings in Bioinformatics|September 5, 2022
Predicting ncRNA-protein interactions based on dual graph convolutional network and pairwise learningLinlin Zhuo, Bosheng Song, Yuansheng Liu, et al.
Pageof 8

Showing results (1-10 of 78) with videos related to

Sort By:
Pageof 8
Mathematical Biosciences and Engineering : MBE|December 21, 2023
DlncRNALoc: A discrete wavelet transform-based model for predicting lncRNA subcellular localizationXiangzheng Fu, Yifan Chen, Sha Tian
Methods (San Diego, Calif.)|September 26, 2022
Predicting miRNA-lncRNA interactions on plant datasets based on bipartite network embedding methodLinlin Zhuo, Shiyao Pan, Jing Li, et al.
BMC Genomics|December 5, 2023
StableDNAm: towards a stable and efficient model for predicting DNA methylation based on adaptive feature correction learningLinlin Zhuo, Rui Wang, Xiangzheng Fu, et al.
RSC Advances|May 13, 2022
New 3D graphical representation for RNA structure analysis and its application in the pre-miRNA identification of plantsXiangzheng Fu, Bo Liao, Wen Zhu, et al.
Briefings in Bioinformatics|January 3, 2024
Joint deep autoencoder and subgraph augmentation for inferring microbial responses to drugsZhecheng Zhou, Linlin Zhuo, Xiangzheng Fu, et al.
ACS Omega|September 27, 2021
Active Semisupervised Model for Improving the Identification of Anticancer PeptidesLijun Cai, Li Wang, Xiangzheng Fu, et al.
Protein and Peptide Letters|March 25, 2014
Identifying protein complexes by reducing noise in interaction networksBo Liao, Xiangzheng Fu, Lijun Cai, et al.
Bioinformatics (Oxford, England)|February 28, 2020
StackCPPred: a stacking and pairwise energy content-based prediction of cell-penetrating peptides and their uptake efficiencyXiangzheng Fu, Lijun Cai, Xiangxiang Zeng, et al.
Frontiers in Microbiology|January 1, 2024
An efficient model for predicting human diseases through miRNA based on multiple-types of contrastive learningQingquan Liao, Xiangzheng Fu, Linlin Zhuo, et al.
Briefings in Bioinformatics|September 5, 2022
Predicting ncRNA-protein interactions based on dual graph convolutional network and pairwise learningLinlin Zhuo, Bosheng Song, Yuansheng Liu, et al.
Pageof 8