Inferring regulatory networks from experimental morphological phenotypes: a computational method reverse-engineers planarian regeneration.

Transformative applications in biomedicine require the discovery of complex regulatory networks that explain the development and regeneration of anatomical structures, and reveal what external signals will trigger desired changes of large-scale pattern. Despite recent advances in bioinformatics, ext...

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Bibliographic Details
Main Authors: Daniel Lobo, Michael Levin
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-06-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC4456145?pdf=render