Automated identification of pathways from quantitative genetic interaction data

Automated identification of pathways from quantitative genetic interaction data

Abstract High‐throughput quantitative genetic interaction (GI) measurements provide detailed information regarding the structure of the underlying biological pathways by reporting on functional dependencies between genes. However, the analytical tools for fully exploiting such information lag behind...

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Bibliographic Details
Main Authors: Alexis Battle, Martin C Jonikas, Peter Walter, Jonathan S Weissman, Daphne Koller
Format: Article
Language:English
Published: Springer Nature 2010-06-01
Series:Molecular Systems Biology
Subjects:
computational biology
genetic interaction
pathway reconstruction
probabilistic methods
Online Access:https://doi.org/10.1038/msb.2010.27
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https://doi.org/10.1038/msb.2010.27

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