Application of information theory in systems biology

Shinsuke Uda

    研究成果: ジャーナルへの寄稿総説査読

    27 被引用数 (Scopus)

    抄録

    Over recent years, new light has been shed on aspects of information processing in cells. The quantification of information, as described by Shannon’s information theory, is a basic and powerful tool that can be applied to various fields, such as communication, statistics, and computer science, as well as to information processing within cells. It has also been used to infer the network structure of molecular species. However, the difficulty of obtaining sufficient sample sizes and the computational burden associated with the high-dimensional data often encountered in biology can result in bottlenecks in the application of information theory to systems biology. This article provides an overview of the application of information theory to systems biology, discussing the associated bottlenecks and reviewing recent work.

    本文言語英語
    ページ(範囲)377-384
    ページ数8
    ジャーナルBiophysical Reviews
    12
    2
    DOI
    出版ステータス出版済み - 4月 1 2020

    !!!All Science Journal Classification (ASJC) codes

    • 生物理学
    • 構造生物学
    • 分子生物学

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