Inference of RhoGAP/GTPase regulation using single-cell morphological data from a combinatorial RNAi screen

Biological networks are highly complex systems, consisting largely of enzymes that act as molecular switches to activate/inhibit downstream targets via post-translational modification. Computational techniques have been developed to perform signaling network inference using some high-throughput data...

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Bibliographic Details
Main Authors: Nir, Oaz (Contributor), Bakal, Chris (Contributor), Perrimon, Norbert (Author), Berger, Bonnie (Contributor)
Other Authors: Harvard University- (Contributor), Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Mathematics (Contributor)
Format: Article
Language:English
Published: Cold Spring Harbor Laboratory Press, 2013-02-13T16:05:33Z.
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