Maxat Kulmanov

20 papers A* 1Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Predicting protein functions using positive-unlabeled ranking with ontology-based priors.
Bioinform.
Fernando Zhapa-Camacho, Zhenwei Tang, Maxat Kulmanov, Robert Hoehndorf
2024 J jnl
Protein function prediction as approximate semantic entailment.
Nat. Mac. Intell.
Maxat Kulmanov, Francisco J. Guzmán-Vega, Paula Duek Roggli, Lydie Lane, Stefan T. Arold, Robert Hoehndorf
2023 J jnl
mOWL: Python library for machine learning with biomedical ontologies.
Bioinform.
Fernando Zhapa-Camacho, Maxat Kulmanov, Robert Hoehndorf
2022 J jnl
DeepGOZero: improving protein function prediction from sequence and zero-shot learning based on ontology axioms.
Bioinform.
Maxat Kulmanov, Robert Hoehndorf
2022 J jnl
Description Logic EL++ Embeddings with Intersectional Closure.
CoRR
Xi Peng, Zhenwei Tang, Maxat Kulmanov, Kexin Niu, Robert Hoehndorf
2022 — conf
Using SPARQL to Unify Queries over Data, Ontologies, and Machine Learning Models in the PhenomeBrowser Knowledgebase.
SWAT4HCLS
Ali Syed, Senay Kafkas, Maxat Kulmanov, Robert Hoehndorf
2021 J jnl
DeepGOPlus: improved protein function prediction from sequence.
Bioinform.
Maxat Kulmanov, Robert Hoehndorf
2021 J jnl
DeepGOWeb: fast and accurate protein function prediction on the (Semantic) Web.
Nucleic Acids Res.
Maxat Kulmanov, Fernando Zhapa-Camacho, Robert Hoehndorf
2021 J jnl
Semantic similarity and machine learning with ontologies.
Briefings Bioinform.
Maxat Kulmanov, Fatima Zohra Smaili, Xin Gao, Robert Hoehndorf
2020 J jnl
DeepGOPlus: improved protein function prediction from sequence.
Bioinform.
Maxat Kulmanov, Robert Hoehndorf
2020 J jnl
DeepPheno: Predicting single gene loss-of-function phenotypes using an ontology-aware hierarchical classifier.
PLoS Comput. Biol.
Maxat Kulmanov, Robert Hoehndorf
2019 J jnl
DeepPVP: phenotype-based prioritization of causative variants using deep learning.
BMC Bioinform.
Imane Boudellioua, Maxat Kulmanov, Paul N. Schofield, Georgios V. Gkoutos, Robert Hoehndorf
2019 A* conf
EL Embeddings: Geometric Construction of Models for the Description Logic EL++.
IJCAI
Maxat Kulmanov, Wang Liu-Wei, Yuan Yan, Robert Hoehndorf
2019 J jnl
EL Embeddings: Geometric construction of models for the Description Logic EL ++.
CoRR
Maxat Kulmanov, Wang Liu-Wei, Yuan Yan, Robert Hoehndorf
2018 J jnl
DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier.
Bioinform.
Maxat Kulmanov, Mohammad Asif Khan, Robert Hoehndorf
2018 J jnl
Ontology-based validation and identification of regulatory phenotypes.
Bioinform.
Maxat Kulmanov, Paul N. Schofield, Georgios V. Gkoutos, Robert Hoehndorf
2018 — conf
Vec2SPARQL: integrating SPARQL queries and knowledge graph embeddings.
SWAT4LS
Maxat Kulmanov, Senay Kafkas, Andreas Karwath, Alexander Malic, Georgios V. Gkoutos, Michel Dumontier, Robert Hoehndorf
2017 J jnl
DeepGO: Predicting protein functions from sequence and interactions using a deep ontology-aware classifier.
CoRR
Maxat Kulmanov, Mohammad Asif Khan, Robert Hoehndorf
2017 J jnl
Evaluating the effect of annotation size on measures of semantic similarity.
J. Biomed. Semant.
Maxat Kulmanov, Robert Hoehndorf
2017 J jnl
Semantic prioritization of novel causative genomic variants.
PLoS Comput. Biol.
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