Maxat Kulmanov

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Robert HoehndorfKing Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
Georgios GkoutosUniversity of Birmingham, College of Medical and Dental SciencesVerified email at bham.ac.uk
Imane BoudelliouaVerified email at kaust.edu.sa
Stefan AroldProfessor of Bioscience at King Abdullah University of Science and Technology (KAUST)Verified email at kaust.edu.sa
Fatima Zohra SmailiMcGill UniversityVerified email at mail.mcgill.ca
Xin GaoProfessor, Computer Sciences; Director, Computational Bioscience Research CenterVerified email at kaust.edu.sa
Asif KhanSpecialist Postdoc Fellow, Harvard Medical SchoolVerified email at hms.harvard.edu
arnab painProfessor, KAUST; Distinguished Professor, Hokkaido UniversityVerified email at kaust.edu.sa
Senay KafkasResearch Scientist, King Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
Yuan YanDalhousie University, King Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
Carlos M. DuarteKing Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
Wang Liu-WeiRobert Koch Institute, P5Verified email at rki.de
Rozaimi Razali, PhDQatar UniversityVerified email at qu.edu.qa
Intikhab AlamKAUSTVerified email at kaust.edu.sa
Aleksandar RadovanovicQuantum Computing Institute, Cape Town, South AfricaVerified email at radovanovic.com
Mark TesterKAUST, Saudi ArabiaVerified email at kaust.edu.sa
Alexander MalicData Science Architect at Institute of Data Science, Maastricht UniversityVerified email at maastrichtuniversity.nl
Andreas KarwathAssociate Professor, Deputy Programme Director Health Data Science, University of Birmingham, UKVerified email at bham.ac.uk
Michel DumontierDistinguished Professor of Data Science, Maastricht UniversityVerified email at maastrichtuniversity.nl
Nicholas J. DimonacoMcMaster University | Queen's University Belfast | Aberystwyth UniversityVerified email at mcmaster.ca

Maxat Kulmanov

King Abdullah University of Science and Technology

Verified email at kaust.edu.sa - Homepage

Computational Biology Bioinformatics Knowledge Representation and Reasoning Machine Learning Deep Learning


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DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier M Kulmanov, MA Khan, R Hoehndorf Bioinformatics 34 (4), 660-668, 2018	441	2018
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ... Genome Biology 20 (244), 2019	370	2019
DeepGOPlus: improved protein function prediction from sequence M Kulmanov, R Hoehndorf Bioinformatics 37 (8), 1187, 2021	367	2021
Semantic similarity and machine learning with ontologies. M Kulmanov, FZ Smaili, X Gao, R Hoehndorf Oxford University Press (OUP), 2020	186*	2020
EL Embeddings: Geometric construction of models for the Description Logic EL++ M Kulmanov, W Liu-Wei, Y Yan, R Hoehndorf International Joint Conferences on Artificial Intelligence Organization …, 2019	112	2019
DeepPVP: phenotype-based prioritization of causative variants using deep learning I Boudellioua, M Kulmanov, PN Schofield, GV Gkoutos, R Hoehndorf BMC Bioinformatics 29 (65), 2019	68	2019
Functional pangenome analysis shows key features of e protein are preserved in sars and sars-cov-2 I Alam, AA Kamau, M Kulmanov, Ł Jaremko, ST Arold, A Pain, T Gojobori, ... Frontiers in cellular and infection microbiology 10, 405, 2020	65*	2020
DeepGOZero: Improving protein function prediction from sequence and zero-shot learning based on ontology axioms M Kulmanov, R Hoehndorf Bioinformatics 38 (Supplement_1), Pages i238–i245,, 2022	40	2022
Semantic prioritization of novel causative genomic variants I Boudellioua, RBM Razali, M Kulmanov, Y Hashish, VB Bajic, ... PLoS computational biology 13 (4), e1005500, 2017	37	2017
Evaluating the effect of annotation size on measures of semantic similarity M Kulmanov, R Hoehndorf Journal of biomedical semantics 8 (1), 1-10, 2017	34	2017
DeepPheno: Predicting single gene loss-of-function phenotypes using an ontology-aware hierarchical classifier M Kulmanov, R Hoehndorf PLoS computational biology, 2020	21	2020
PathoPhenoDB, linking human pathogens to their phenotypes in support of infectious disease research Ş Kafkas, M Abdelhakim, Y Hashish, M Kulmanov, M Abdellatif, ... Scientific data 6 (1), 1-8, 2019	21	2019
DeepGOWeb: fast and accurate protein function prediction on the (Semantic) Web M Kulmanov, F Zhapa-Camacho, R Hoehndorf Oxford University Press (OUP), 2021	20	2021
OligoPVP: Phenotype-driven analysis of individual genomic information to prioritize oligogenic disease variants I Boudellioua, M Kulmanov, PN Schofield, GV Gkoutos, R Hoehndorf Scientific Reports 8 (1), 2045-2322, 2018	15	2018
Description Logic EL++ Embeddings with Intersectional Closure X Peng, Z Tang, M Kulmanov, K Niu, R Hoehndorf arXiv preprint arXiv:2202.14018, 2022	14	2022
DeepMOCCA: A pan-cancer prognostic model identifies personalized prognostic markers through graph attention and multi-omics data integration S Althubaiti, M Kulmanov, Y Liu, G Gkoutos, P Schofield, R Hoehndorf bioRxiv, 2021	12	2021
DES-TOMATO: A Knowledge Exploration System Focused On Tomato Species A Salhi, S Negrão, M Essack, MJL Morton, S Bougouffa, R Razali, ... Scientific reports 7 (1), 5968, 2017	11	2017
mOWL: Python library for machine learning with biomedical ontologies F Zhapa-Camacho, M Kulmanov, R Hoehndorf Oxford University Press (OUP), 2022	8	2022
Protein function prediction as approximate semantic entailment M Kulmanov, FJ Guzmán-Vega, P Duek Roggli, L Lane, ST Arold, ... Nature Machine Intelligence 6 (2), 220–228, 2024	7*	2024
Ontology-based validation and identification of regulatory phenotypes M Kulmanov, PN Schofield, GV Gkoutos, R Hoehndorf Bioinformatics 34 (17), 2018	6	2018

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