A Hierarchical Clustering Strategy and Its Application to Proteomic Interaction Data. - Vicente Arnau; Ignacio Marín 001 (IbPRIA, 2003)

A Fast Algorithm for the Exhaustive Analysis of 12-Nucleotide-Long DNA Sequences. Applications to Human Genomics. - Vicente Arnau; Ignacio Marín 001 (IPDPS, 2003)

UVCLUSTER: Searching For Regularities in Complex Graphs. - Vicente Arnau; Sergio Mars; Ignacio Marín 001 (Spanish Bioinformatics Conference, 2004)

Genomic-Scale Analysis of DNA Words of Arbitrary Length by Parallel Computation. - Xiaoyuan Yang 001; Ana Ripoll; Vicente Arnau; Ignacio Marín 001; Emilio Luque (PARCO, 2005)

Iterative Cluster Analysis of Protein Interaction Data. - Vicente Arnau; Sergio Mars; Ignacio Marín 001 (Bioinform., 2005)

UVPAR: fast detection of functional shifts in duplicate genes. - Vicente Arnau; Miguel Gallach; J. Ignasi Lucas; Ignacio Marín 001 (BMC Bioinform., 2006)

A general strategy to determine the congruence between a hierarchical and a non-hierarchical classification. - Antonio Marco; Ignacio Marín 001 (BMC Bioinform., 2007)

Interactome and Gene Ontology provide congruent yet subtly different views of a eukaryotic cell. - Antonio Marco; Ignacio Marín 001 (BMC Syst. Biol., 2009)

Deciphering Network Community Structure by Surprise - Rodrigo Aldecoa; Ignacio Marín 001 (CoRR, 2011)

Closed benchmarks for network community structure characterization - Rodrigo Aldecoa; Ignacio Marín 001 (CoRR, 2012)

Jerarca: Efficient Analysis of Complex Networks Using Hierarchical Clustering - Rodrigo Aldecoa; Ignacio Marín 001 (CoRR, 2012)

Exploring the limits of community detection strategies in complex networks. - Rodrigo Aldecoa; Ignacio Marín 001 (CoRR, 2013)

Surprise maximization reveals the community structure of complex networks - Rodrigo Aldecoa; Ignacio Marín 001 (CoRR, 2013)

SurpriseMe: an integrated tool for network community structure characterization using Surprise maximization. - Rodrigo Aldecoa; Ignacio Marín 001 (Bioinform., 2014)