Decomposing gene expression into cellular processes (2003)by E. Segal, A.J. Battle, and D. Koller
Abstract:
We propose a probabilistic model for cellular processes, and an algorithm for discovering them from gene expression data. A process is associated with a set of genes that participate in it; unlike clustering techniques, our model allows genes to participate in multiple processes. Each process may be active to a different degree in each experiment. The expression measurement for gene g in array a is a sum, over all processes in which g participates, of the activity levels of these processes in array a. We describe an iterative procedure, based on the EM algorithm, for decomposing the expression matrix into a given number of processes. We present results on Yeast gene expression data, which indicate that our approach identifies real biological processes.
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E. Segal, A.J. Battle, and D. Koller (2003). "Decomposing gene expression into cellular processes." Proc. Pacific Symposium on Biocomputing (PSB) (pp. 89-100).
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Bibtex citation
@inproceedings{Segal+al:PSB03,
title = {Decomposing gene expression into cellular processes},
author = {E. Segal and A.J. Battle and D. Koller},
booktitle = {Proc. Pacific Symposium on Biocomputing (PSB)},
month = {January},
year = {2003},
editors = {R.B. Altman and A.K. Dunkner and L. Hunter and T.A. Jung and T.E. Klein},
publisher = {World Scientific},
pages = {89--100},
}
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