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Anomaly detection in gene expression via stochastic models of gene regulatory networks

✍ Scribed by Haseong Kim; Erol Gelenbe


Book ID
115003219
Publisher
BioMed Central
Year
2009
Tongue
English
Weight
452 KB
Volume
10
Category
Article
ISSN
1471-2164

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## Abstract Gene regulatory networks are dynamic and stochastic in nature, and exhibit exquisite feedback and feedforward control loops that regulate their biological function at different levels. Modelling of such networks poses new challenges due, in part, to the small number of molecules involve