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MultiBaC: an R package to remove batch effects in multi-omic experiments

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MultiBaC: an R package to remove batch effects in multi-omic experiments

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Ugidos, M.; Nueda, MJ.; Prats-Montalbán, JM.; Ferrer, A.; Conesa, A.; Tarazona, S. (2022). MultiBaC: an R package to remove batch effects in multi-omic experiments. Bioinformatics. 38(9):2657-2658. https://doi.org/10.1093/bioinformatics/btac132

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/192509

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Title: MultiBaC: an R package to remove batch effects in multi-omic experiments
Author: Ugidos, Manuel Nueda, María José Prats-Montalbán, José Manuel Ferrer, Alberto Conesa, Ana Tarazona, Sonia
UPV Unit: Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials
Issued date:
Abstract:
[EN] Motivation: Batch effects in omics datasets are usually a source of technical noise that masks the biological signal and hampers data analysis. Batch effect removal has been widely addressed for individual omics ...[+]
Subjects: Multi-omic datasets , Batch effect
Copyrigths: Reconocimiento - No comercial (by-nc)
Source:
Bioinformatics. (issn: 1367-4803 )
DOI: 10.1093/bioinformatics/btac132
Publisher:
Oxford University Press
Publisher version: https://doi.org/10.1093/bioinformatics/btac132
Project ID:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-119537RB-I00/ES/INTEGRACION DE DATOS MULTI-OMICOS PARA LA INFERENCIA DE MODELOS MULTI-CAPA DE ENFERMEDAD/
info:eu-repo/grantAgreement/Generalitat Valenciana//PROMETEO GRUPOS DE EXCELENCIA//The Next Systems Biology: desarrollo de métodos estadísticos para la biología de sistemas multiómica/
info:eu-repo/grantAgreement/Conselleria d'Educació, Investigació, Cultura i Esport de la Generalitat Valenciana//PROMETEO%2F2016%2F093//The Next Systems Biology: desarrollo de métodos estadísticos para la biología de sistemas multiómica/
Thanks:
This work was funded by the Generalitat Valenciana through PROMETEO grants program for excellence research groups [PROMETEO 2016/093] and by the Spanish MICINN [PID2020-119537RB-I00]. Funding for open access charge: ...[+]
Type: Artículo

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