Learning Signaling Network Structures with Sparsely Distributed Data

Learning Signaling Network Structures with Sparsely Distributed Data

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Flow cytometric measurement of signaling protein abundances has proved particularly useful for elucidation of signaling pathway structure. The single cell nature of the data ensures a very large dataset size, providing a statistically robust dataset for structure learning. Moreover, the approach is...

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Bibliographic Details
Main Authors: Sachs, Karen, Itani, Solomon, Carlisle, Jennifer, Nolan, Garry P., Pe'er, Dana, Lauffenburger, Douglas A.
Other Authors: Massachusetts Institute of Technology. Department of Biological Engineering
Format: Article
Language:en_US
Published: Mary Ann Liebert, Inc. 2011
Online Access:http://hdl.handle.net/1721.1/62223

Internet

http://hdl.handle.net/1721.1/62223

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