Mutual information is critically dependent on prior assumptions: would the correct estimate of mutual information please identify itself? | Zendy

Andrew D. Fernandes | Zendy; Gregory B. Gloor | Zendy

Open Access

Mutual information is critically dependent on prior assumptions: would the correct estimate of mutual information please identify itself?

Author(s) -

Andrew D. Fernandes,

Gregory B. Gloor

Publication year - 2010

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btq111

Subject(s) - mutual information , computer science , prior information , critically ill , information theory , econometrics , statistics , artificial intelligence , mathematics , medicine , intensive care medicine

Mutual information (MI) is a quantity that measures the dependence between two arbitrary random variables and has been repeatedly used to solve a wide variety of bioinformatic problems. Recently, when attempting to quantify the effects of sampling variance on computed values of MI in proteins, we encountered striking differences among various novel estimates of MI. These differences revealed that estimating the 'true' value of MI is not a straightforward procedure, and minor variations of assumptions yielded remarkably different estimates.

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