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Alloza E, Al-Shahrour F, Cigudosa JC, Dopazo J. A large scale survey reveals that chromosomal copy-number alterations significantly affect gene modules involved in cancer initiation and progression. BMC Medical Genomics. 2011;4:37. doi:10.1186/1755-8794-4-37.
Yung S, Ledran M, Moreno-Gimeno I, et al. Large-scale transcriptional profiling and functional assays reveal important roles for Rho-GTPase signalling and SCL during haematopoietic differentiation of human embryonic stem cells. Hum Mol Genet. 2011;20(24):4932-46. doi:10.1093/hmg/ddr431.
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Carbonell J, Alloza E, Arce P, et al. A map of human microRNA variation uncovers unexpectedly high levels of variability. Genome medicine. 2012;4:62. doi:10.1186/gm363.
Carbonell J, Alloza E, Arce P, et al. A map of human microRNA variation uncovers unexpectedly high levels of variability. Genome medicine. 2012;4:62. doi:10.1186/gm363.
Carbonell J, Alloza E, Arce P, et al. A map of human microRNA variation uncovers unexpectedly high levels of variability. Genome medicine. 2012;4:62. doi:10.1186/gm363.
Dopazo J, Zanders E, Dragoni I, Amphlett G, Falciani F. Methods and approaches in the analysis of gene expression data. J Immunol Methods. 2001;250:93-112. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=11251224.
Rizza S, Conesa A, Juarez J, et al. Microarray analysis of Etrog citron (Citrus medica L.) reveals changes in chloroplast, cell wall, peroxidase and symporter activities in response to viroid infection. Molecular plant pathology. 2012. doi:10.1111/j.1364-3703.2012.00794.x.
Shi L, Campbell G, Jones WD, et al. The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nature biotechnology. 2010;28:827-38. Available at: http://www.nature.com/nbt/journal/v28/n8/full/nbt.1665.html.
Hidalgo MR, Amadoz A, Cubuk C, Carbonell-Caballero J, Dopazo J. Models of cell signaling uncover molecular mechanisms of high-risk neuroblastoma and predict disease outcome. Biol Direct. 2018;13(1):16. doi:10.1186/s13062-018-0219-4.
Fornes O, Aragues R, Espadaler J, Marti-Renom MA, Sali A, Oliva B. ModLink+: Improving fold recognition by using protein-protein interactions. Bioinformatics. 2009. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=19357100.
Ibáñez M, Carbonell-Caballero J, Such E, et al. The modular network structure of the mutational landscape of Acute Myeloid Leukemia. PLoS One. 2018;13(10):e0202926. doi:10.1371/journal.pone.0202926.
del Pozo MGonzález-, Borrego S, Barragán I, et al. Mutation screening of multiple genes in Spanish patients with autosomal recessive retinitis pigmentosa by targeted resequencing. PLoS One. 2011;6(12):e27894. doi:10.1371/journal.pone.0027894.
Barragán I, Borrego S, Pieras JIgnacio, et al. Mutation spectrum of EYS in Spanish patients with autosomal recessive retinitis pigmentosa. Hum Mutat. 2010;31(11):E1772-800. doi:10.1002/humu.21334.
Barragán I, Borrego S, Pieras JIgnacio, et al. Mutation spectrum of EYS in Spanish patients with autosomal recessive retinitis pigmentosa. Hum Mutat. 2010;31(11):E1772-800. doi:10.1002/humu.21334.
Barragán I, Borrego S, Pieras JIgnacio, et al. Mutation spectrum of EYS in Spanish patients with autosomal recessive retinitis pigmentosa. Hum Mutat. 2010;31(11):E1772-800. doi:10.1002/humu.21334.
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Serra F, Arbiza L, Dopazo J, Dopazo H. Natural selection on functional modules, a genome-wide analysis. PLoS Comput Biol. 2011;7(3):e1001093. doi:10.1371/journal.pcbi.1001093.
Heath AP, Ferretti V, Agrawal S, et al. The NCI Genomic Data Commons. Nature Genetics. 2021. doi:10.1038/s41588-021-00791-5.
Heath AP, Ferretti V, Agrawal S, et al. The NCI Genomic Data Commons. Nature Genetics. 2021. doi:10.1038/s41588-021-00791-5.
Heath AP, Ferretti V, Agrawal S, et al. The NCI Genomic Data Commons. Nature Genetics. 2021. doi:10.1038/s41588-021-00791-5.
Heath AP, Ferretti V, Agrawal S, et al. The NCI Genomic Data Commons. Nature Genetics. 2021. doi:10.1038/s41588-021-00791-5.
Herrero J, Vaquerizas JM, Al-Shahrour F, et al. New challenges in gene expression data analysis and the extended GEPAS. Nucleic Acids Res. 2004;32:W485-91. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15215434.
Tenorio J, Mansilla A, Valencia M, et al. A New Overgrowth Syndrome is Due to Mutations in RNF125. Human mutation. 2014;35:1436–1441. doi:10.1002/humu.22689.
Montaner D, Al-Shahrour F, Dopazo J. New Trends in the Analysis of Functional Genomic Data. In: Progress in Industrial Mathematics at ECMI 2006.Vol 12. Progress in Industrial Mathematics at ECMI 2006. Berlin: Springer; 2007:576-580. doi:10.1007/978-3-540-71992-2_94.
Montaner D, Tarraga J, Huerta-Cepas J, et al. Next station in microarray data analysis: GEPAS. Nucleic Acids Res. 2006;34:W486-91. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16845056.
Montaner D, Tarraga J, Huerta-Cepas J, et al. Next station in microarray data analysis: GEPAS. Nucleic Acids Res. 2006;34:W486-91. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16845056.