GoVec: Gene Ontology Representation Learning Using Weighted Heterogeneous Graph and Meta-Path

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

GoVec : Gene Ontology Representation Learning Using Weighted Heterogeneous Graph and Meta-Path. / Nourani, Esmaeil.

In: Journal of Computational Biology, Vol. 28, No. 12, 2021.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Nourani, E 2021, 'GoVec: Gene Ontology Representation Learning Using Weighted Heterogeneous Graph and Meta-Path', Journal of Computational Biology, vol. 28, no. 12. https://doi.org/10.1089/cmb.2021.0069

APA

Nourani, E. (2021). GoVec: Gene Ontology Representation Learning Using Weighted Heterogeneous Graph and Meta-Path. Journal of Computational Biology, 28(12). https://doi.org/10.1089/cmb.2021.0069

Vancouver

Nourani E. GoVec: Gene Ontology Representation Learning Using Weighted Heterogeneous Graph and Meta-Path. Journal of Computational Biology. 2021;28(12). https://doi.org/10.1089/cmb.2021.0069

Author

Nourani, Esmaeil. / GoVec : Gene Ontology Representation Learning Using Weighted Heterogeneous Graph and Meta-Path. In: Journal of Computational Biology. 2021 ; Vol. 28, No. 12.

Bibtex

@article{bb1febf2b0ec4b9a979e9de1367d4e8a,
title = "GoVec: Gene Ontology Representation Learning Using Weighted Heterogeneous Graph and Meta-Path",
keywords = "Gene Ontology, heterogeneous graph, meta-path, representation learning",
author = "Esmaeil Nourani",
year = "2021",
doi = "10.1089/cmb.2021.0069",
language = "English",
volume = "28",
journal = "Journal of Computational Biology",
issn = "1066-5277",
publisher = "Mary Ann Liebert, Inc. Publishers",
number = "12",

}

RIS

TY - JOUR

T1 - GoVec

T2 - Gene Ontology Representation Learning Using Weighted Heterogeneous Graph and Meta-Path

AU - Nourani, Esmaeil

PY - 2021

Y1 - 2021

KW - Gene Ontology

KW - heterogeneous graph

KW - meta-path

KW - representation learning

U2 - 10.1089/cmb.2021.0069

DO - 10.1089/cmb.2021.0069

M3 - Journal article

C2 - 34847734

VL - 28

JO - Journal of Computational Biology

JF - Journal of Computational Biology

SN - 1066-5277

IS - 12

ER -

ID: 286998386