Feature set enhancement via hierarchical clustering for microarray classification. - Mattia Bosio; Pau Bellot Pujalte; Philippe Salembier; Albert Oliveras-Vergés (GENSiPS, 2011)

Microarray classification with hierarchical data representation and novel feature selection criteria. - Mattia Bosio; Pau Bellot Pujalte; Philippe Salembier; Albert Oliveras-Vergés (BIBE, 2012)

Multiclass cancer-microarray classification algorithm with pair-against-all redundancy. - Mattia Bosio; Pau Bellot Pujalte; Philippe Salembier; Albert Oliveras-Vergés (GENSiPS, 2012)

Ensemble learning and hierarchical data representation for microarray classification. - Mattia Bosio; Pau Bellot Pujalte; Philippe Salembier; Albert Oliveras-Vergés (BIBE, 2013)

Hierarchical clustering combining numerical and biological similarities for gene expression data classification. - Mattia Bosio; Philippe Salembier; Pau Bellot; Albert Oliveras-Vergés (EMBC, 2013)

Effcient combination of pairwise feature networks. - Pau Bellot; Patrick E. Meyer 001 (Neural Connectomics, 2014)

Study of Normalization and Aggregation Approaches for Consensus Network Estimation. - Pau Bellot; Philippe Salembier; Albert Oliveras-Vergés; Patrick E. Meyer 001 (SSCI, 2015)

NetBenchmark: a bioconductor package for reproducible benchmarks of gene regulatory network inference. - Pau Bellot; Catharina Olsen; Philippe Salembier; Albert Oliveras-Vergés; Patrick E. Meyer 001 (BMC Bioinform., 2015)

Efficient combination of pairswise feature networks. - Pau Bellot; Patrick E. Meyer 001 (CoRR, 2015)

Study of Meta-analysis strategies for network inference using information-theoretic approaches. - Ngoc Cam Pham; Benjamin Haibe-Kains; Pau Bellot; Gianluca Bontempi; Patrick E. Meyer 001 (BioData Min., 2017)

Study of gene regulatory networks inference methods from gene expression data. - Pau Bellot (2017)