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Pau Bellot
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2010 – 2019
- 2017
- [b1]Pau Bellot:
Study of gene regulatory networks inference methods from gene expression data. Polytechnic University of Catalonia, Spain, 2017 - [j2]Ngoc Cam Pham
, Benjamin Haibe-Kains
Study of Meta-analysis strategies for network inference using information-theoretic approaches. BioData Min. 10(1): 15:1-15:14 (2017) - 2016
- [c8]Ngoc Cam Pham, Benjamin Haibe-Kains
Study of Meta-analysis Strategies for Network Inference Using Information-Theoretic Approaches. DEXA Workshops 2016: 76-83 - 2015
- [j1]Pau Bellot, Catharina Olsen
NetBenchmark: a bioconductor package for reproducible benchmarks of gene regulatory network inference. BMC Bioinform. 16: 312:1-312:15 (2015) - [c7]Pau Bellot, Philippe Salembier, Albert Oliveras-Vergés
Study of Normalization and Aggregation Approaches for Consensus Network Estimation. SSCI 2015: 1081-1086 - [i1]Pau Bellot, Patrick E. Meyer:
Efficient combination of pairswise feature networks. CoRR abs/1506.00102 (2015) - 2014
- [c6]Pau Bellot, Patrick E. Meyer:
Effcient combination of pairwise feature networks. Neural Connectomics 2014: 75-82 - 2013
- [c5]Mattia Bosio
Ensemble learning and hierarchical data representation for microarray classification. BIBE 2013: 1-4 - [c4]Mattia Bosio
Hierarchical clustering combining numerical and biological similarities for gene expression data classification. EMBC 2013: 584-587 - 2012
- [c3]Mattia Bosio
Microarray classification with hierarchical data representation and novel feature selection criteria. BIBE 2012: 344-349 - [c2]Mattia Bosio
Multiclass cancer-microarray classification algorithm with pair-against-all redundancy. GENSiPS 2012: 111-112 - 2011
- [c1]Mattia Bosio, Pau Bellot Pujalte
Feature set enhancement via hierarchical clustering for microarray classification. GENSiPS 2011: 226-229
Coauthor Index
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