An information theoretic approach for the inference of Boolean networks and functions from data: BoCSE

David Murrugarra, Alan Veliz-Cuba

Research output: Contribution to journalComment/debate

Abstract

Building predictive models from data is an important and challenging task in many fields including biology, medicine, engineering, and economy. In this issue, Sun et al.1 present a method for the inference of Boolean networks along with practical applications.

Original languageEnglish
Article number100617
JournalPatterns
Volume3
Issue number11
DOIs
StatePublished - Nov 11 2022

Bibliographical note

Funding Information:
D.M. was partially supported by a Collaboration grant (850896) from the Simons Foundation . A.V.-C. was partially supported by the Simons Foundation grant 516088.

Publisher Copyright:
© 2022

ASJC Scopus subject areas

  • Decision Sciences (all)

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