Maxat Kulmanov

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Computational Methods

Semantic Similarity

Protein Function

Top Venues

PLoS Comput. Biol.

Publications

Maxat Kulmanov, Francisco J. Guzmán-Vega, Paula Duek Roggli, Lydie Lane, Stefan T. Arold, Robert Hoehndorf
Protein function prediction as approximate semantic entailment. Nat. Mac. Intell. 6 (2) (2024)
Fernando Zhapa-Camacho, Maxat Kulmanov, Robert Hoehndorf
mOWL: Python library for machine learning with biomedical ontologies. Bioinform. 39 (1) (2023)
Ali Syed, Senay Kafkas, Maxat Kulmanov, Robert Hoehndorf
Using SPARQL to Unify Queries over Data, Ontologies, and Machine Learning Models in the PhenomeBrowser Knowledgebase. SWAT4HCLS (2022)
Xi Peng, Zhenwei Tang, Maxat Kulmanov, Kexin Niu, Robert Hoehndorf
Description Logic EL++ Embeddings with Intersectional Closure. CoRR (2022)
Maxat Kulmanov, Fatima Zohra Smaili, Xin Gao, Robert Hoehndorf
Semantic similarity and machine learning with ontologies. Briefings Bioinform. 22 (4) (2021)
Maxat Kulmanov, Robert Hoehndorf
DeepGOPlus: improved protein function prediction from sequence. Bioinform. 37 (8) (2021)
Maxat Kulmanov, Fernando Zhapa-Camacho, Robert Hoehndorf
DeepGOWeb: fast and accurate protein function prediction on the (Semantic) Web. Nucleic Acids Res. 49 (Webserver-Issue) (2021)
Maxat Kulmanov, Robert Hoehndorf
DeepPheno: Predicting single gene loss-of-function phenotypes using an ontology-aware hierarchical classifier. PLoS Comput. Biol. 16 (11) (2020)
Maxat Kulmanov, Robert Hoehndorf
DeepGOPlus: improved protein function prediction from sequence. Bioinform. 36 (2) (2020)
Imane Boudellioua, Maxat Kulmanov, Paul N. Schofield, Georgios V. Gkoutos, Robert Hoehndorf
DeepPVP: phenotype-based prioritization of causative variants using deep learning. BMC Bioinform. 20 (1) (2019)
Maxat Kulmanov, Wang Liu-Wei, Yuan Yan, Robert Hoehndorf
EL Embeddings: Geometric construction of models for the Description Logic EL ++. CoRR (2019)
Maxat Kulmanov, Wang Liu-Wei, Yuan Yan, Robert Hoehndorf
EL Embeddings: Geometric Construction of Models for the Description Logic EL++. IJCAI (2019)
Maxat Kulmanov, Senay Kafkas, Andreas Karwath, Alexander Malic, Georgios V. Gkoutos, Michel Dumontier, Robert Hoehndorf
Vec2SPARQL: integrating SPARQL queries and knowledge graph embeddings. SWAT4LS (2018)
Maxat Kulmanov, Mohammad Asif Khan, Robert Hoehndorf
DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier. Bioinform. 34 (4) (2018)
Maxat Kulmanov, Paul N. Schofield, Georgios V. Gkoutos, Robert Hoehndorf
Ontology-based validation and identification of regulatory phenotypes. Bioinform. 34 (17) (2018)
Imane Boudellioua, Rozaimi B. Mahamad Razali, Maxat Kulmanov, Yasmeen Hashish, Vladimir B. Bajic, Eva Goncalves-Serra, Nadia Schoenmakers, Georgios V. Gkoutos, Paul N. Schofield, Robert Hoehndorf
Semantic prioritization of novel causative genomic variants. PLoS Comput. Biol. 13 (4) (2017)
Maxat Kulmanov, Robert Hoehndorf
Evaluating the effect of annotation size on measures of semantic similarity. J. Biomed. Semant. 8 (1) (2017)
Maxat Kulmanov, Mohammad Asif Khan, Robert Hoehndorf
DeepGO: Predicting protein functions from sequence and interactions using a deep ontology-aware classifier. CoRR (2017)