BioAcyl Corp
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Uda, S. (2020). Application of information theory in systems biology. Biophysical Reviews, 12(2), 377. Added by: Dr. Enrique Feoli (01/01/2021, 17:03) Last edited by: Dr. Enrique Feoli (11/01/2021, 02:29) |
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| Resource type: Journal Article Language: en: English DOI: 10.1007/s12551-020-00665-w BibTeX citation key: Uda2020 View all bibliographic details  |
Categories: BioAcyl Corp Subcategories: Information theory Creators: Uda Collection: Biophysical Reviews |
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| Abstract |
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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.
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