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Biostatistics (Oxford, England)|November 17, 2011
ARSyN: a method for the identification and removal of systematic noise in multifactorial time course microarray experimentsMaria J Nueda, Alberto Ferrer, Ana ConesaBioinformatics (Oxford, England)|February 17, 2006
maSigPro: a method to identify significantly differential expression profiles in time-course microarray experimentsAna Conesa, María José Nueda, Alberto Ferrer, et al.Genome Research|September 10, 2011
Differential expression in RNA-seq: a matter of depthSonia Tarazona, Fernando García-Alcalde, Joaquín Dopazo, et al.Statistical Methods in Medical Research|March 6, 2020
MultiBaC: A strategy to remove batch effects between different omic data typesManuel Ugidos, Sonia Tarazona, José M Prats-Montalbán, et al.Bioinformatics (Oxford, England)|March 3, 2022
MultiBaC: an R package to remove batch effects in multi-omic experimentsManuel Ugidos, María José Nueda, José M Prats-Montalbán, et al.BMC Bioinformatics|June 19, 2009
Functional assessment of time course microarray dataMaría José Nueda, Patricia Sebastián, Sonia Tarazona, et al.Nucleic Acids Research|July 18, 2015
Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc packageSonia Tarazona, Pedro Furió-Tarí, David Turrà, et al.Scientific Data|February 29, 2020
A multi-omics dataset of heat-shock response in the yeast RNA binding protein Mip6Carme Nuño-Cabanes, Manuel Ugidos, Sonia Tarazona, et al.Bioinformatics (Oxford, England)|May 24, 2007
Discovering gene expression patterns in time course microarray experiments by ANOVA-SCAMaría José Nueda, Ana Conesa, Johan A Westerhuis, et al.BMC Systems Biology|July 18, 2014
The common ground of genomics and systems biologyAna Conesa, Ali MortazaviPageof 18