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Co-evolution based machine-learning for predicting functional interactions between human genes

Authors :
Doron Stupp
Elad Sharon
Idit Bloch
Marinka Zitnik
Or Zuk
Yuval Tabach
Source :
Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
Publication Year :
2021
Publisher :
Nature Portfolio, 2021.

Abstract

With the rise in number of eukaryotic species being fully sequenced, large scale phylogenetic profiling can give insights on gene function, Here, the authors describe a machine-learning approach that integrates co-evolution across eukaryotic clades to predict gene function and functional interactions among human genes.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.59ff6a7933cf40ff80afbe2c5b1265df
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-021-26792-w