activity
20082022
most citedA unifying view for performance measures in multi-class prediction

419 citations · 832 across the 30 of their papers we have counts for

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Showing q-bio.MNShow all

9 papers · 1 filter

q-bio.MN2018★ 2 cited

Multilayer flows in molecular networks identify biological modules in the human proteome

Giuseppe Mangioni, Giuseppe Jurman, Manlio De Domenico

A variety of complex systems exhibit different types of relationships simultaneously that can be modeled by multiplex networks. A typical problem is to determine the community stru…

q-bio.MN2016

Differential network analysis and graph classification: a glocal approach

Giuseppe Jurman, Michele Filosi, Samantha Riccadonna +2

Based on the glocal HIM metric and its induced graph kernel, we propose a novel solution in differential network analysis that integrates network comparison and classification task…

q-bio.MN2012★ 1 cited

DTW-MIC Coexpression Networks from Time-Course Data

Samantha Riccadonna, Giuseppe Jurman, Roberto Visintainer +2

When modeling coexpression networks from high-throughput time course data, Pearson Correlation Coefficient (PCC) is one of the most effective and popular similarity functions. Howe…

q-bio.MN2012★ 1 cited

Stability Indicators in Network Reconstruction

Giuseppe Jurman, Michele Filosi, Roberto Visintainer +2

The number of algorithms available to reconstruct a biological network from a dataset of high-throughput measurements is nowadays overwhelming, but evaluating their performance whe…

q-bio.MN2012

Evaluating sources of variability in pathway profiling

A. Barla, S. Riccadonna, S. Masecchia +4

A bioinformatics platform is introduced aimed at identifying models of disease-specific pathways, as well as a set of network measures that can quantify changes in terms of global…

q-bio.MN2011★ 3 cited

Biological network comparison via Ipsen-Mikhailov distance

Giuseppe Jurman, Samantha Riccadonna, Roberto Visintainer +1

Highlighting similarities and differences between networks is an informative task in investigating many biological processes. Typical examples are detecting differences between an…