Robert Castelo

Orcid: 0000-0003-2229-4508

According to our database1, Robert Castelo authored at least 20 papers between 2000 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of two.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2018
GenomicScores: seamless access to genomewide position-specific scores from R and Bioconductor.
Bioinform., 2018

Differential networking with path weights in Gaussian trees.
Proceedings of the International Conference on Probabilistic Graphical Models, 2018

2016
Public data and open source tools for multi-assay genomic investigation of disease.
Briefings Bioinform., 2016

2013
GSVA: gene set variation analysis for microarray and RNA-Seq data.
BMC Bioinform., 2013

A flexible count data model to fit the wide diversity of expression profiles arising from extensively replicated RNA-seq experiments.
BMC Bioinform., 2013

2012
Learning undirected graphical models from multiple datasets with the generalized non-rejection rate.
Int. J. Approx. Reason., 2012

2011
Learning mixed graphical models from data with p larger than n.
Proceedings of the UAI 2011, 2011

2009
Reverse Engineering Molecular Regulatory Networks from Microarray Data with qp-Graphs.
J. Comput. Biol., 2009

2006
A Robust Procedure For Gaussian Graphical Model Search From Microarray Data With <i>p</i> Larger Than <i>n</i>.
J. Mach. Learn. Res., 2006

2005
Gene finding in the chicken genome.
BMC Bioinform., 2005

2004
Splice site identification by idlBNs.
Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004

2003
Improving Markov Chain Monte Carlo Model Search for Data Mining.
Mach. Learn., 2003

On Inclusion-Driven Learning of Bayesian Networks.
J. Mach. Learn. Res., 2003

Enumeration of <i>P</i> <sub>4</sub>-Free Chordal Graphs.
Graphs Comb., 2003

2002
Learning Essential Graph Markov Models From Data.
Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002

Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001
Association Models for Web Mining.
Data Min. Knowl. Discov., 2001

Improved learning of Bayesian networks.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

MAMBO: Discovering Association Rules Based on Conditional Independencies.
Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001

2000
Priors on network structures. Biasing the search for Bayesian networks.
Int. J. Approx. Reason., 2000


  Loading...