Publicaciones en las que colabora con Ana Conesa Cegarra (14)

2024

  1. scMaSigPro: differential expression analysis along single-cell trajectories

    Bioinformatics, Vol. 40, Núm. 7

2022

  1. MultiBaC: An R package to remove batch effects in multi-omic experiments

    Bioinformatics, Vol. 38, Núm. 9, pp. 2657-2658

2018

  1. Identification and visualization of differential isoform expression in RNA-seq time series

    Bioinformatics, Vol. 34, Núm. 3, pp. 524-526

2015

  1. Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package

    Nucleic Acids Research, Vol. 43, Núm. 21

2014

  1. Next maSigPro: Updating maSigPro bioconductor package for RNA-seq time series

    Bioinformatics, Vol. 30, Núm. 18, pp. 2598-2602

  2. Pathway network inference from gene expression data

    BMC systems biology, Vol. 8, pp. S7

2012

  1. ARSyN: A method for the identification and removal of systematic noise in multifactorial time course microarray experiments

    Biostatistics, Vol. 13, Núm. 3, pp. 553-566

2010

  1. A multiway approach to data integration in systems biology based on Tucker3 and N-PLS

    Chemometrics and Intelligent Laboratory Systems, Vol. 104, Núm. 1, pp. 101-111

  2. Serial expression analysis: A web tool for the analysis of serial gene expression data

    Nucleic Acids Research, Vol. 38, Núm. SUPPL. 2

2009

  1. Functional assessment of time course microarray data

    BMC Bioinformatics

2008

  1. High-throughput functional annotation and data mining with the Blast2GO suite

    Nucleic Acids Research, Vol. 36, Núm. 10, pp. 3420-3435

2007

  1. Combining maSigPro and ASCA procedures to enhance analysis in Time-Course Microarray experiments

    XXX Congreso Nacional de Estadística e Investigación Operativa y de las IV Jornadas de Estadística Pública: actas

  2. Discovering gene expression patterns in time course microarray experiments by ANOVA-SCA

    Bioinformatics, Vol. 23, Núm. 14, pp. 1792-1800

2006

  1. maSigPro: A method to identify significantly differential expression profiles in time-course microarray experiments

    Bioinformatics, Vol. 22, Núm. 9, pp. 1096-1102