419 citations · 750 across the 10 of their papers we have counts for
6 papers · 1 filter
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…
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…
Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers
Davide Albanese, Michele Filosi, Roberto Visintainer +3
We introduce a novel implementation in ANSI C of the MINE family of algorithms for computing maximal information-based measures of dependence between two variables in large dataset…
mlpy: Machine Learning Python
Davide Albanese, Roberto Visintainer, Stefano Merler +3
mlpy is a Python Open Source Machine Learning library built on top of NumPy/SciPy and the GNU Scientific Libraries. mlpy provides a wide range of state-of-the-art machine learning…
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…
The HIM glocal metric and kernel for network comparison and classification
Giuseppe Jurman, Roberto Visintainer, Michele Filosi +2
Due to the ever rising importance of the network paradigm across several areas of science, comparing and classifying graphs represent essential steps in the networks analysis of co…