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Robert Castelo
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2020 – today
- 2024
- [i3]Jenny Drnevich, Frederick J. Tan, Fabricio Almeida-Silva, Robert Castelo, Aedín C. Culhane, Sean Davis, Maria A. Doyle, Susan Holmes, Leo Lahti, Alexandru Mahmoud, Kozo Nishida, Marcel Ramos, Kevin C. Rue-Albrecht, David J. H. Shih, Laurent Gatto, Charlotte Soneson:
Learning and teaching biological data science in the Bioconductor community. CoRR abs/2410.01351 (2024)
2010 – 2019
- 2018
- [j13]Pau Puigdevall
, Robert Castelo
GenomicScores: seamless access to genomewide position-specific scores from R and Bioconductor. Bioinform. 34(18): 3208-3210 (2018) - [c7]Alberto Roverato, Robert Castelo:
Differential networking with path weights in Gaussian trees. PGM 2018: 404-415 - 2016
- [j12]Lavanya Kannan, Marcel Ramos
Public data and open source tools for multi-assay genomic investigation of disease. Briefings Bioinform. 17(4): 603-615 (2016) - 2013
- [j11]Sonja Hänzelmann
GSVA: gene set variation analysis for microarray and RNA-Seq data. BMC Bioinform. 14: 7 (2013) - [j10]Mikel Esnaola, Pedro Puig
A flexible count data model to fit the wide diversity of expression profiles arising from extensively replicated RNA-seq experiments. BMC Bioinform. 14: 254 (2013) - [i2]Tomas Kocka, Robert Castelo:
Improved learning of Bayesian networks. CoRR abs/1301.2283 (2013) - 2012
- [j9]Alberto Roverato
Learning undirected graphical models from multiple datasets with the generalized non-rejection rate. Int. J. Approx. Reason. 53(9): 1326-1335 (2012) - [i1]Inma Tur, Robert Castelo:
Learning mixed graphical models from data with p larger than n. CoRR abs/1202.3765 (2012) - 2011
- [c6]Inma Tur, Robert Castelo:
Learning mixed graphical models from data with p larger than n. UAI 2011: 689-697
2000 – 2009
- 2009
- [j8]Robert Castelo
Reverse Engineering Molecular Regulatory Networks from Microarray Data with qp-Graphs. J. Comput. Biol. 16(2): 213-227 (2009) - 2006
- [j7]Robert Castelo, Alberto Roverato:
A Robust Procedure For Gaussian Graphical Model Search From Microarray Data With p Larger Than n. J. Mach. Learn. Res. 7: 2621-2650 (2006) - 2005
- [j6]Eduardo Eyras
Gene finding in the chicken genome. BMC Bioinform. 6: 131 (2005) - 2004
- [c5]Robert Castelo
Splice site identification by idlBNs. ISMB/ECCB (Supplement of Bioinformatics) 2004: 69-76 - 2003
- [j5]Robert Castelo
Enumeration of P 4-Free Chordal Graphs. Graphs Comb. 19(4): 467-474 (2003) - [j4]Robert Castelo, Tomás Kocka:
On Inclusion-Driven Learning of Bayesian Networks. J. Mach. Learn. Res. 4: 527-574 (2003) - [j3]Paolo Giudici, Robert Castelo
Improving Markov Chain Monte Carlo Model Search for Data Mining. Mach. Learn. 50(1-2): 127-158 (2003) - 2002
- [c4]Bart Baesens, Michael Egmont-Petersen, Robert Castelo
Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search. ICPR (3) 2002: 49-52 - [c3]Robert Castelo, Michael D. Perlman:
Learning Essential Graph Markov Models From Data. Probabilistic Graphical Models 2002 - 2001
- [j2]Paolo Giudici, Robert Castelo
Association Models for Web Mining. Data Min. Knowl. Discov. 5(3): 183-196 (2001) - [c2]Robert Castelo, A. J. Feelders, Arno Siebes:
MAMBO: Discovering Association Rules Based on Conditional Independencies. IDA 2001: 289-298 - [c1]Tomás Kocka, Robert Castelo:
Improved learning of Bayesian networks. UAI 2001: 269-276 - 2000
- [j1]Robert Castelo
Priors on network structures. Biasing the search for Bayesian networks. Int. J. Approx. Reason. 24(1): 39-57 (2000)
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