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- Title
Deconvolving cell cycle expression data with complementary information.
- Authors
Bar-Joseph, Ziv; Farkash, Shlomit; Gifford, David K; Simon, Itamar; Rosenfeld, Roni
- Abstract
In the study of many systems, cells are first synchronized so that a large population of cells exhibit similar behavior. While synchronization can usually be achieved for a short duration, after a while cells begin to lose their synchronization. Synchronization loss is a continuous process and so the observed value in a population of cells for a gene at time t is actually a convolution of its values in an interval around t. Deconvolving the observed values from a mixed population will allow us to obtain better models for these systems and to accurately detect the genes that participate in these systems.
- Publication
Bioinformatics (Oxford, England), 2004, Vol 20 Suppl 1, pi23
- ISSN
1367-4811
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/bth915