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Time-dependent gene network modelling by sequential Monte Carlo. GeneNetParticleFilter - MatLab codes

Software
Data di Pubblicazione:
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.
Tipologia CRIS:
05.11 Software
Keywords:
Gene networks; Sequential Monte Carlo; Time varying networks; Graph Theory. Network problems
Elenco autori:
Ancherbak, Sergiy; Kuruoglu, ERCAN ENGIN
Autori di Ateneo:
KURUOGLU ERCAN ENGIN
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/297930
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