Remondini, D. (2014) Towards a network entropy formalism for gene expression data analysis. Il nuovo cimento C, 37 (4). pp. 205-211. ISSN 1826-9885
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Abstract
In many situations it has been widely recognized that studies based on single-gene differential expression statistical analyses are too simplistic, since they do not consider the complexity of the underlying biological system, mainly based on specific interaction between genes (at a transciptomic, proteomic and metabolomic level). For this reason, novel approaches are sought aiming to exploit networkbased methods, in a Systems Biology perspective, capable of integrating singleprobe measurements with biological information at a whole-genome scale. We describe a method, based on Statistical Mechanics and Network Theory, that goes into this direction, combining what is actually known about gene-gene interactions at a protein level and high-throughput mRNA data obtained in different experimental conditions. We will provide a framework for a phenomenological interpretation of Entropy of a Network Ensemble based on an Information Theory approach.
| Item Type: | Article |
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| Uncontrolled Keywords: | Computational methods in statistical physics and nonlinear dynamics ; Systems Biology ; Genomics |
| Subjects: | 500 Scienze naturali e Matematica > 530 Fisica |
| Depositing User: | Marina Spanti |
| Date Deposited: | 19 May 2020 16:07 |
| Last Modified: | 19 May 2020 16:07 |
| URI: | http://eprints.bice.rm.cnr.it/id/eprint/18656 |
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