Maxat Kulmanov

According to our database, Maxat Kulmanov authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

mOWL: Python library for machine learning with biomedical ontologies.

Fernando Zhapa-Camacho, Maxat Kulmanov, Robert Hoehndorf

Bioinform., January, 2023

2022

Description Logic EL++ Embeddings with Intersectional Closure.

Xi Peng, Zhenwei Tang, Maxat Kulmanov, Kexin Niu, Robert Hoehndorf

CoRR, 2022

Using SPARQL to Unify Queries over Data, Ontologies, and Machine Learning Models in the PhenomeBrowser Knowledgebase.

Ali Syed, Senay Kafkas, Maxat Kulmanov, Robert Hoehndorf

Proceedings of the 13th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2022

2021

DeepGOWeb: fast and accurate protein function prediction on the (Semantic) Web.

Maxat Kulmanov, Fernando Zhapa-Camacho, Robert Hoehndorf

Nucleic Acids Res., 2021

DeepGOPlus: improved protein function prediction from sequence.

Maxat Kulmanov, Robert Hoehndorf

Bioinform., 2021

Semantic similarity and machine learning with ontologies.

Maxat Kulmanov, Fatima Zohra Smaili, Xin Gao, Robert Hoehndorf

Briefings Bioinform., 2021

2020

DeepPheno: Predicting single gene loss-of-function phenotypes using an ontology-aware hierarchical classifier.

Maxat Kulmanov, Robert Hoehndorf

PLoS Comput. Biol., 2020

2019

DeepPVP: phenotype-based prioritization of causative variants using deep learning.

Imane Boudellioua, Maxat Kulmanov, Paul N. Schofield, Georgios V. Gkoutos, Robert Hoehndorf

BMC Bioinform., December, 2019

EL Embeddings: Geometric Construction of Models for the Description Logic EL++.

Maxat Kulmanov, Wang Liu-Wei, Yuan Yan, Robert Hoehndorf

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Ontology-based validation and identification of regulatory phenotypes.

Maxat Kulmanov, Paul N. Schofield, Georgios V. Gkoutos, Robert Hoehndorf

Bioinform., 2018

DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier.

Maxat Kulmanov, Mohammad Asif Khan, Robert Hoehndorf

Bioinform., 2018

Vec2SPARQL: integrating SPARQL queries and knowledge graph embeddings.

Maxat Kulmanov, Senay Kafkas, Andreas Karwath, Alexander Malic, Georgios V. Gkoutos, Michel Dumontier, Robert Hoehndorf

Proceedings of the 11th International Conference Semantic Web Applications and Tools for Life Sciences, 2018

2017

Semantic prioritization of novel causative genomic variants.

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

PLoS Comput. Biol., 2017

Evaluating the effect of annotation size on measures of semantic similarity.

Maxat Kulmanov, Robert Hoehndorf

J. Biomed. Semant., 2017