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

Abstract excerpt

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, extracting mechanistic pathway models from experimental morphological data is a key open challenge that has resisted...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Computational Biology
• Share to Gene Regulatory Networks