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Iterative Shannon Entropy - a Methodology to Quantify the Information Content of Value Range Dependent Data

Anne Mai Wassermann1, Martin Vogt1, Jürgen Bajorath2

  • 1Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität Bonn, Dahlmannstr. 2, D-53113 Bonn phone/fax: +49-228-2699-306/341.

Molecular Informatics
|July 28, 2016
PubMed

Keywords:
Computational chemistryComputer-aided chemical biologyData distributionsInformation contentShannon entropyValue range dependence

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