Ferrer A - Search Results

1

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

Nueda MJ, Ferrer A, Conesa A. Nueda MJ, et al. Among authors: ferrer a. Biostatistics. 2012 Jul;13(3):553-66. doi: 10.1093/biostatistics/kxr042. Epub 2011 Nov 14. Biostatistics. 2012. PMID: 22085896

2

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

Conesa A, Nueda MJ, Ferrer A, Talón M. Conesa A, et al. Among authors: ferrer a. Bioinformatics. 2006 May 1;22(9):1096-102. doi: 10.1093/bioinformatics/btl056. Epub 2006 Feb 15. Bioinformatics. 2006. PMID: 16481333

3

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

Nueda MJ, Conesa A, Westerhuis JA, Hoefsloot HC, Smilde AK, Talón M, Ferrer A. Nueda MJ, et al. Among authors: ferrer a. Bioinformatics. 2007 Jul 15;23(14):1792-800. doi: 10.1093/bioinformatics/btm251. Epub 2007 May 22. Bioinformatics. 2007. PMID: 17519250

4

Functional assessment of time course microarray data.

Nueda MJ, Sebastián P, Tarazona S, García-García F, Dopazo J, Ferrer A, Conesa A. Nueda MJ, et al. Among authors: ferrer a. BMC Bioinformatics. 2009 Jun 16;10 Suppl 6(Suppl 6):S9. doi: 10.1186/1471-2105-10-S6-S9. BMC Bioinformatics. 2009. PMID: 19534758 Free PMC article.

5

Differential expression in RNA-seq: a matter of depth.

Tarazona S, García-Alcalde F, Dopazo J, Ferrer A, Conesa A. Tarazona S, et al. Among authors: ferrer a. Genome Res. 2011 Dec;21(12):2213-23. doi: 10.1101/gr.124321.111. Epub 2011 Sep 8. Genome Res. 2011. PMID: 21903743 Free PMC article.

6

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

Tarazona S, Furió-Tarí P, Turrà D, Pietro AD, Nueda MJ, Ferrer A, Conesa A. Tarazona S, et al. Among authors: ferrer a. Nucleic Acids Res. 2015 Dec 2;43(21):e140. doi: 10.1093/nar/gkv711. Epub 2015 Jul 16. Nucleic Acids Res. 2015. PMID: 26184878 Free PMC article.

7

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

Ugidos M, Nueda MJ, Prats-Montalbán JM, Ferrer A, Conesa A, Tarazona S. Ugidos M, et al. Among authors: ferrer a. Bioinformatics. 2022 Apr 28;38(9):2657-2658. doi: 10.1093/bioinformatics/btac132. Bioinformatics. 2022. PMID: 35238331 Free PMC article.

8

A multi-omics dataset of heat-shock response in the yeast RNA binding protein Mip6.

Nuño-Cabanes C, Ugidos M, Tarazona S, Martín-Expósito M, Ferrer A, Rodríguez-Navarro S, Conesa A. Nuño-Cabanes C, et al. Among authors: ferrer a. Sci Data. 2020 Feb 27;7(1):69. doi: 10.1038/s41597-020-0412-z. Sci Data. 2020. PMID: 32109230 Free PMC article.

9

MultiBaC: A strategy to remove batch effects between different omic data types.

Ugidos M, Tarazona S, Prats-Montalbán JM, Ferrer A, Conesa A. Ugidos M, et al. Among authors: ferrer a. Stat Methods Med Res. 2020 Oct;29(10):2851-2864. doi: 10.1177/0962280220907365. Epub 2020 Mar 4. Stat Methods Med Res. 2020. PMID: 32131696 Free article.

10

Principal elementary mode analysis (PEMA).

Folch-Fortuny A, Marques R, Isidro IA, Oliveira R, Ferrer A. Folch-Fortuny A, et al. Among authors: ferrer a. Mol Biosyst. 2016 Mar;12(3):737-46. doi: 10.1039/c5mb00828j. Epub 2016 Feb 1. Mol Biosyst. 2016. PMID: 26905301

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