网络集成的熵:基因组数据的定义和应用。

IF 0.8 4区生物学 Q4 BIOLOGY

Theoretical Biology Forum Pub Date : 2014-01-01 DOI:10.1400/230154

G. Menichetti, D. Remondini

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引用次数: 5

摘要

本文介绍了统计力学在网络理论中的应用框架，特别强调了网络系综熵的概念。这种形式为高通量转录组学数据的分析提供了新的观察和见解，与先验的生物学知识相结合，嵌入到蛋白质-蛋白质相互作用和细胞信号传导的可用公共数据库中。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Entropy of a network ensemble: definitions and applications to genomic data.

In this paper we introduce the framework for the application of statistical mechanics to network theory, with a particular emphasis to the concept of entropy of network ensembles. This formalism provides novel observables and insights for the analysis of high-throughput transcriptomics data, integrated with apriori biological knowledge, embedded in-to available public databases of protein-protein interaction and cell signaling.

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来源期刊

Theoretical Biology Forum Agricultural and Biological Sciences-General Agricultural and Biological Sciences

CiteScore

1.10

自引率

0.00%

发文量