List of works - Maxat Kulmanov

A Machine Learning Based Approach for Similarity Search on Biodiversity Knowledge Graphs

scientific article published on 12 June 2019

DES-TOMATO: A Knowledge Exploration System Focused On Tomato Species.

scientific article

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

scientific article published on 28 September 2017

DeepGOPlus: improved protein function prediction from sequence

scientific article published on 01 January 2020

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

scientific article published on 01 July 2021

DeepGOZero: improving protein function prediction from sequence and zero-shot learning based on ontology axioms

scientific article published in 2022

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

scholarly article published 2 May 2018

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

scientific article published on 06 February 2019

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

scientific article published on 18 November 2020

Evaluating the effect of annotation size on measures of semantic similarity

scientific article published on 13 February 2017

Functional pangenome analysis suggests inhibition of the protein E as a readily available therapy for COVID-2019

scientific article

OligoPVP: Phenotype-driven analysis of individual genomic information to prioritize oligogenic disease variants

scientific article published in Scientific Reports

OligoPVP: Phenotype-driven analysis of individual genomic information to prioritize oligogenic disease variants

Ontology-based validation and identification of regulatory phenotypes

scientific article published on 01 September 2018

PathoPhenoDB, linking human pathogens to their phenotypes in support of infectious disease research

scientific article published on 3 June 2019

Semantic prioritization of novel causative genomic variants

scientific article

The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

scientific article published on 19 November 2019

Using SPARQL to unify queries over data, ontologies, and machine learning models in the PhenomeBrowser knowledgebase ⬇️

Vec2SPARQL: integrating SPARQL queries and knowledge graph embeddings

Vec2SPARQL: integrating SPARQL queries and knowledge graph embeddings ⬇️

mOWL: Python library for machine learning with biomedical ontologies

scientific article published in 2022

List of works by Maxat Kulmanov

A Machine Learning Based Approach for Similarity Search on Biodiversity Knowledge Graphs

DES-TOMATO: A Knowledge Exploration System Focused On Tomato Species.

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

DeepGOPlus: improved protein function prediction from sequence

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

DeepGOZero: improving protein function prediction from sequence and zero-shot learning based on ontology axioms

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

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

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

Evaluating the effect of annotation size on measures of semantic similarity

Functional pangenome analysis suggests inhibition of the protein E as a readily available therapy for COVID-2019

OligoPVP: Phenotype-driven analysis of individual genomic information to prioritize oligogenic disease variants

OligoPVP: Phenotype-driven analysis of individual genomic information to prioritize oligogenic disease variants

Ontology-based validation and identification of regulatory phenotypes

Ontology-based validation and identification of regulatory phenotypes

PathoPhenoDB, linking human pathogens to their phenotypes in support of infectious disease research

Semantic prioritization of novel causative genomic variants

The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

Using SPARQL to unify queries over data, ontologies, and machine learning models in the PhenomeBrowser knowledgebase ⬇️

Vec2SPARQL: integrating SPARQL queries and knowledge graph embeddings

Vec2SPARQL: integrating SPARQL queries and knowledge graph embeddings ⬇️

mOWL: Python library for machine learning with biomedical ontologies