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

Jael-Sanyanda Wekesa

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Frontiers in Genetics|August 7, 2023
A review of multi-omics data integration through deep learning approaches for disease diagnosis, prognosis, and treatmentJael Sanyanda Wekesa, Michael Kimwele
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|April 18, 2020
Predicting Protein Functions Based on Differential Co-expression and Neighborhood AnalysisJael Sanyanda Wekesa, Yushi Luan, Jun Meng
Molecular Genetics and Genomics : MGG|May 16, 2020
A deep learning model for plant lncRNA-protein interaction prediction with graph attentionJael Sanyanda Wekesa, Jun Meng, Yushi Luan
Genomics|May 22, 2020
Multi-feature fusion for deep learning to predict plant lncRNA-protein interactionJael Sanyanda Wekesa, Jun Meng, Yushi Luan
Cells|June 2, 2019
A Hybrid Prediction Method for Plant lncRNA-Protein InteractionJael Sanyanda Wekesa, Yushi Luan, Ming Chen, et al.
BMC Bioinformatics|August 25, 2021
PRPI-SC: an ensemble deep learning model for predicting plant lncRNA-protein interactionsHaoran Zhou, Jael Sanyanda Wekesa, Yushi Luan, et al.
Computers in Biology and Medicine|March 16, 2023
Identification of small open reading frames in plant lncRNA using class-imbalance learningSiyuan Zhao, Jun Meng, Jael Sanyanda Wekesa, et al.
Mathematical Biosciences|February 13, 2016
Protein function prediction based on data fusion and functional interrelationshipJun Meng, Jael-Sanyanda Wekesa, Guan-Li Shi, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Frontiers in Genetics|August 7, 2023
A review of multi-omics data integration through deep learning approaches for disease diagnosis, prognosis, and treatmentJael Sanyanda Wekesa, Michael Kimwele
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|April 18, 2020
Predicting Protein Functions Based on Differential Co-expression and Neighborhood AnalysisJael Sanyanda Wekesa, Yushi Luan, Jun Meng
Molecular Genetics and Genomics : MGG|May 16, 2020
A deep learning model for plant lncRNA-protein interaction prediction with graph attentionJael Sanyanda Wekesa, Jun Meng, Yushi Luan
Genomics|May 22, 2020
Multi-feature fusion for deep learning to predict plant lncRNA-protein interactionJael Sanyanda Wekesa, Jun Meng, Yushi Luan
Cells|June 2, 2019
A Hybrid Prediction Method for Plant lncRNA-Protein InteractionJael Sanyanda Wekesa, Yushi Luan, Ming Chen, et al.
BMC Bioinformatics|August 25, 2021
PRPI-SC: an ensemble deep learning model for predicting plant lncRNA-protein interactionsHaoran Zhou, Jael Sanyanda Wekesa, Yushi Luan, et al.
Computers in Biology and Medicine|March 16, 2023
Identification of small open reading frames in plant lncRNA using class-imbalance learningSiyuan Zhao, Jun Meng, Jael Sanyanda Wekesa, et al.
Mathematical Biosciences|February 13, 2016
Protein function prediction based on data fusion and functional interrelationshipJun Meng, Jael-Sanyanda Wekesa, Guan-Li Shi, et al.
Pageof 1