BioNet-Finder

Network-based modeling and analysis for complex biological data

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Last Update: 2018-05-03

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BioNet-Finder is a network-based genomic data modeling project, supported by the Multivariate Statistics lab of the Brain and Behavioural Science Department at University of Pavia (Pavia, Italy), to share data, methods, and code for network-based analysis of complex disorders. Our goal is to provide straightforward tools for data reduction, modeling, and interpretation, avoiding common issues, including data selection, database compositional biases, topological/hierarchical organization of data, genomic complexity, latent effects on the observed system, and output ranking. This is carried out applying network analysis methods from different fields, such as Structural Equation Modeling (SEM), together with data reduction algorithms (e.g., random walkers, spectral analysis, shortest path-based or topology-based algorithms).
The BioNet-Finder project is at its initial steps, and it will continuously update with new methods and code.

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2017-09-28

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