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.
Time-dependent gene network modelling by sequential Monte Carlo. GeneNetParticleFilter - MatLab codes
Ancherbak S;Kuruoglu E E
2015
Abstract
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.File in questo prodotto:
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