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

Maxat Kulmanov

Showing results (1-10 of 31) with videos related to

Pageof 4
Sort By:
Bioinformatics (Oxford, England)|July 28, 2019
DeepGOPlus: improved protein function prediction from sequenceMaxat Kulmanov, Robert Hoehndorf
Plos Computational Biology|November 18, 2020
DeepPheno: Predicting single gene loss-of-function phenotypes using an ontology-aware hierarchical classifierMaxat Kulmanov, Robert Hoehndorf
Journal of Biomedical Semantics|February 15, 2017
Evaluating the effect of annotation size on measures of semantic similarityMaxat Kulmanov, Robert Hoehndorf
Bioinformatics (Oxford, England)|May 19, 2021
DeepGOPlus: improved protein function prediction from sequenceMaxat Kulmanov, Robert Hoehndorf
Bioinformatics (Oxford, England)|June 27, 2022
DeepGOZero: improving protein function prediction from sequence and zero-shot learning based on ontology axiomsMaxat Kulmanov, Robert Hoehndorf
Methods in Molecular Biology (Clifton, N.J.)|July 29, 2025
Computational prediction of protein functional annotationsMaxat Kulmanov, Robert Hoehndorf
Briefings in Bioinformatics|June 29, 2026
Evaluating completeness, coherence, and consistency of genome-scale function annotationsRund Tawfiq, Maxat Kulmanov, Robert Hoehndorf
Nucleic Acids Research|May 21, 2021
DeepGOWeb: fast and accurate protein function prediction on the (Semantic) WebMaxat Kulmanov, Fernando Zhapa-Camacho, Robert Hoehndorf
Bioinformatics (Oxford, England)|December 19, 2022
mOWL: Python library for machine learning with biomedical ontologiesFernando Zhapa-Camacho, Maxat Kulmanov, Robert Hoehndorf
Scientific Reports|December 31, 2024
DeepGOMeta for functional insights into microbial communities using deep learning-based protein function predictionRund Tawfiq, Kexin Niu, Robert Hoehndorf, et al.
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
Bioinformatics (Oxford, England)|July 28, 2019
DeepGOPlus: improved protein function prediction from sequenceMaxat Kulmanov, Robert Hoehndorf
Plos Computational Biology|November 18, 2020
DeepPheno: Predicting single gene loss-of-function phenotypes using an ontology-aware hierarchical classifierMaxat Kulmanov, Robert Hoehndorf
Journal of Biomedical Semantics|February 15, 2017
Evaluating the effect of annotation size on measures of semantic similarityMaxat Kulmanov, Robert Hoehndorf
Bioinformatics (Oxford, England)|May 19, 2021
DeepGOPlus: improved protein function prediction from sequenceMaxat Kulmanov, Robert Hoehndorf
Bioinformatics (Oxford, England)|June 27, 2022
DeepGOZero: improving protein function prediction from sequence and zero-shot learning based on ontology axiomsMaxat Kulmanov, Robert Hoehndorf
Methods in Molecular Biology (Clifton, N.J.)|July 29, 2025
Computational prediction of protein functional annotationsMaxat Kulmanov, Robert Hoehndorf
Briefings in Bioinformatics|June 29, 2026
Evaluating completeness, coherence, and consistency of genome-scale function annotationsRund Tawfiq, Maxat Kulmanov, Robert Hoehndorf
Nucleic Acids Research|May 21, 2021
DeepGOWeb: fast and accurate protein function prediction on the (Semantic) WebMaxat Kulmanov, Fernando Zhapa-Camacho, Robert Hoehndorf
Bioinformatics (Oxford, England)|December 19, 2022
mOWL: Python library for machine learning with biomedical ontologiesFernando Zhapa-Camacho, Maxat Kulmanov, Robert Hoehndorf
Scientific Reports|December 31, 2024
DeepGOMeta for functional insights into microbial communities using deep learning-based protein function predictionRund Tawfiq, Kexin Niu, Robert Hoehndorf, et al.
Pageof 4