PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Ancherbak S., Kuruoglu E. E. Time-dependent gene network modelling by sequential Monte Carlo. GeneNetParticleFilter MatLab codes.
 
 
Abstract
(English)
This document describes the MatLab codes used to perform gene network modelling. Our aim is by tracking gene expression data undergone due to different external perturbations in a gene network in time domain to model conditional dependencies between random variables (gene expression values) across time epochs, and to learn online a time varying gene network. The methodology used is particle filtering or sequential Monte Carlo. structure.
Subject Gene networks
Sequential Monte Carlo
Time varying networks
G.2.2 Graph Theory. Network problems
G.3 PROBABILITY AND STATISTICS. Probabilistic algorithms (including Monte Carlo)
J.3 LIFE AND MEDICAL SCIENCES. Biology and genetics
92D10 Genetics
92C42 Systems biology, networks
90B15 Network models, stochastic


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