115 citations · 370 across the 6 of their papers we have counts for
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q-bio.MN2013★ 22 cited
SurpriseMe: an integrated tool for network community structure characterization using Surprise maximization
Rodrigo Aldecoa, Ignacio Marín
Detecting communities, densely connected groups may contribute to unravel the underlying relationships among the units present in diverse biological networks (e.g., interactome, co…
q-bio.MN2012★ 44 cited
Jerarca: Efficient Analysis of Complex Networks Using Hierarchical Clustering
Rodrigo Aldecoa, Ignacio Marín
Background: How to extract useful information from complex biological networks is a major goal in many fields, especially in genomics and proteomics. We have shown in several works…
q-bio.MN2011★ 115 cited
Deciphering Network Community Structure by Surprise
Rodrigo Aldecoa, Ignacio Marín
The analysis of complex networks permeates all sciences, from biology to sociology. A fundamental, unsolved problem is how to characterize the community structure of a network. Her…