Publications
Selected publications most relevant to our current research:
D. Costa, N. Bonet, A. Solé, J.M. González de Aledo-Castillo, E. Sabidó, F. Casals, C. Rovira, A. Nadal, J.L. Marín, T. Cobo and R. Castelo. Genome-wide postnatal changes in immunity following fetal inflammatory response. FEBS Journal, 288:2311-2331, 2021. [full text, preprint, Raw and processed RNA-seq expression data, Raw proteomics expression data].
A. Roverato and R. Castelo. Path weights in concentration graphs. Biometrika, 107:705-722, 2020. [abstract, preprint].
P. Puigdevall, L. Piccari, I. Blanco, J.A. Barberà, D. Geiger, C. Badenas, M. Milà, R. Castelo and I. Madrigal. Genetic linkage analysis of a large family identifies FIGN as a candidate modulator of reduced penetrance in heritable pulmonary arterial hypertension. Journal of Medical Genetics, 56:481-490, 2019. [full text].
A. Roverato and R. Castelo. The networked partial correlation and its application to the analysis of genetic interactions. Journal of the Royal Statistical Society Series C -Applied Statistics, 66:647-665, 2017. [full text, preprint, supplement].
D. Costa and R. Castelo. Umbilical cord gene expression reveals the molecular architecture of the fetal inflammatory response in extremely preterm newborns. Pediatric Research, 79:473-481, 2016. [full text, supplement].
R. Baumstark, S. Hänzelmann, S. Tsuru, Y. Schaerli, M. Francesconi, F.M. Mancuso, R. Castelo and M. Isalan. The propagation of perturbations in rewired bacterial gene networks. Nature Communications, 6:10105, 2015. [full text]
I. Tur, A. Roverato and R. Castelo. Mapping eQTL networks with mixed graphical Markov models. Genetics, 198(4):1377-1383, 2014. [full text, arXiv preprint, supplement, R/Bioconductor package].
M. Esnaola, P. Puig, D. Gonzalez, R. Castelo and J.R. Gonzalez. A flexible count data model to fit the wide diversity of expression profiles arising from extensively replicated RNA-seq experiments. BMC Bioinformatics, 14:254, 2013. [full text, R/Bioconductor package].
S. Hänzelmann, R. Castelo and J. Guinney. GSVA: gene set variation analysis for microarray and RNA-Seq data. BMC Bioinformatics, 14:7, 2013. [full text, R/Bioconductor package].
I. Tur and R. Castelo. Learning mixed graphical models from data with p larger than n. In Proceedings 27th Conference on Uncertainty in Artificial Intelligence, F.G. Cozman and A. Pfeffer, Eds., pp. 689-697, AUAI Press, ISBN 978-0-9749039-7-2, Barcelona, 2011. [PDF, R/Bioconductor package].
R. Castelo and A. Roverato. Reverse engineering molecular regulatory networks from microarray data with qp-graphs, Journal of Computational Biology, 16(2):213-227, 2009. [abstract and PDF, supplement, R/Bioconductor package].
R. Castelo and A. Roverato. A robust procedure for Gaussian graphical model search from microarray data with p larger than n, Journal of Machine Learning Research, 7(Dec):2621-2650, 2006. [abstract and PDF, R/Bioconductor package]
R. Castelo and R. Guigó. Splice Site Identification by idlBNs. Bioinformatics, 20(1):i69-i76, 2004. [abstract and PDF, supplement]
R. Castelo and T. Kocka. On inclusion-driven learning of Bayesian Networks. Journal of Machine Learning Research, 4(Sep):527-574, 2003. [abstract and PDF]
