Surveying alignment-free features for Ortholog detection in related yeast proteomes by using supervised big data classifiers

Journal article

Open access

Peer reviewed

Deborah Galpert, Alberto Fernández, Francisco Herrera, Agostinho Antunes, Reinaldo Molina-Ruiz and Guillermin Agüero-Chapin

BMC bioinformatics, Vol.19(1), pp.166-166

03/05/2018

PMCID: PMC5934817

PMID: 29724166

Abstract

Big data

Imbalance data

Ortholog detection

Pairwise protein similarity measures

Supervised classification

url

https://doi.org/10.1186/s12859-018-2148-8View

Published (Version of record) Open

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Title: Surveying alignment-free features for Ortholog detection in related yeast proteomes by using supervised big data classifiers
Creators - without role: Deborah Galpert - 54830 Santa Clara, Cuba
Alberto Fernández - Universidad de Granada
Francisco Herrera - Universidad de Granada
Agostinho Antunes - Universidade do Porto
Reinaldo Molina-Ruiz - 54830 Santa Clara, Cuba
Guillermin Agüero-Chapin - Universidade do Porto
Publication Details: BMC bioinformatics, Vol.19(1), pp.166-166
Publisher: BioMed Central
Grant note: UID/Multi/04423/2013, PTDC/AAG-GLO/6887/2014 / ; SFRH/BPD/92978/2013 / ;
Identifiers: 9939641908331
Academic Unit: King Abdulaziz University
Language: English
Resource Type: Journal article