PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Reconstruction of biological networks by supervised machine learning approaches
Jean-Philippe Vert
In: Elements of Computational Systems Biology (2009) Wiley .

Abstract

We review a recent trend in computational systems biology which aims at using pattern recognition algorithms to infer the structure of large-scale biological networks from heterogeneous genomic data. We present several strategies that have been proposed and that lead to different pattern recognition problems and algorithms. The strenght of these approaches is illustrated on the reconstruction of metabolic, protein-protein and regulatory networks of model organisms. In all cases, state-of-the-art performance is reported.

EPrint Type:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:4439
Deposited By:Jean-Philippe Vert
Deposited On:13 March 2009