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1 Author(s)
Murphy, R.F. ; Dept. of Biol. Sci., Biomed. Eng., & Machine Learning, Carnegie Mellon Univ., Pittsburgh, PA

Approaches for automatically analyzing subcellular location on a proteome-wide basis have been developed. This permits proteins to be grouped into subcellular location families that share a statistically-indistinguishable pattern. This in turn creates a need for methods to connect these automatically determined locations to existing information in literature and databases, and to communicate the nature of the pattern for each family. The building of generative models is proposed to meet this need and their utility for simulations of cell behavior is discussed.

Published in:

Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on

Date of Conference:

12-15 April 2007

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