Maxat Kulmanov

发表

DeepGOPlus: improved protein function prediction from sequence

Maxat Kulmanov, Robert Hoehndorf, R. Hoehndorf, 2019, bioRxiv.

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

Maxat Kulmanov, Robert Hoehndorf, 2020 .

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

Maxat Kulmanov, Robert Hoehndorf, Magbubah Essack, 2017, Scientific Reports.

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

Maxat Kulmanov, Takashi Gojobori, Stefan T. Arold, 2020, medRxiv.

Evaluating the effect of annotation size on measures of semantic similarity

Maxat Kulmanov, Robert Hoehndorf, R. Hoehndorf, 2017, Journal of Biomedical Semantics.

Uncovering the dark matter of the metagenome one read at a time

Maxat Kulmanov, Robert Hoehndorf, Amanda Clare, 2019 .

Vec2SPARQL: integrating SPARQL queries and knowledge graph embeddings

Michel Dumontier, Maxat Kulmanov, Robert Hoehndorf, 2018, bioRxiv.

DeepGOPlus: Improved protein function prediction from sequence

Maxat Kulmanov, Robert Hoehndorf, 2019 .

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

Maxat Kulmanov, Robert Hoehndorf, 2020, PLoS computational biology.

Xin Gao, Maxat Kulmanov, Robert Hoehndorf, 2020, Briefings Bioinform..

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

Maxat Kulmanov, Robert Hoehndorf, Mohammed Asif Khan, 2017, Bioinform..

Ontology-based validation and identification of regulatory phenotypes

Paul N. Schofield, Maxat Kulmanov, Robert Hoehndorf, 2018 .

Ontology-based validation and identification of regulatory phenotypes

Paul N. Schofield, Maxat Kulmanov, Robert Hoehndorf, 2018, bioRxiv.

Semantic prioritization of novel causative genomic variants

Vladimir B. Bajic, Paul N. Schofield, Maxat Kulmanov, 2017, PLoS Comput. Biol..

Machine learning with biomedical ontologies

Xin Gao, Maxat Kulmanov, Robert Hoehndorf, 2020, bioRxiv.

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

Maxat Kulmanov, Robert Hoehndorf, Claus Weiland, 2019 .

Predicting Gene Functions and Phenotypes by combining Deep Learning and Ontologies

Maxat Kulmanov, Maxat Kulmanov, 2020 .

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

Tapio Salakoski, Feng Zhang, Paolo Fontana, 2019, Genome Biology.

EL Embeddings: Geometric construction of models for the Description Logic EL ++ pdf

Maxat Kulmanov, Robert Hoehndorf, Yuan Yan, 2019, IJCAI.

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

Maxat Kulmanov, Robert Hoehndorf, Georgios V Gkoutos, 2018, BMC Bioinformatics.

DeepMOCCA: A pan-cancer prognostic model identifies personalized prognostic markers through graph attention and multi-omics data integration

Maxat Kulmanov, Robert Hoehndorf, Georgios V Gkoutos, 2021, bioRxiv.

DeepGOPlus: improved protein function prediction from sequence

Maxat Kulmanov, Robert Hoehndorf, R. Hoehndorf, 2021, Bioinform..

Functional pangenome analysis points to protein E, a pathogenicity determinant in SARS, as a therapeutic target for COVID-19 complications

Maxat Kulmanov, Takashi Gojobori, Intikhab Alam, 2020 .

Functional Pangenome Analysis Shows Key Features of E Protein Are Preserved in SARS and SARS-CoV-2

Maxat Kulmanov, Takashi Gojobori, Intikhab Alam, 2020, Frontiers in Cellular and Infection Microbiology.

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

Jari Björne, Tapio Salakoski, Giorgio Valentini, 2019, Genome Biology.