Das, D., Zhang, M. Q. (2007) Predictive models in gene regulation. Methods Mol Biol, 377. pp. 95-110. ISSN 978-1-59745-390-5
Abstract
Eukaryotic transcription is a complex process. A myriad of biochemical signals cause activators and repressors to bind specific cis-elements on the promoter DNA, which help to recruit the basal transcription machinery that ultimately initiates transcription. In this chapter, we discuss how regression techniques can be effectively used to infer the functional cis-regulatory elements and their cooperativity from microarray data. Examples from yeast cell cycle are drawn to demonstrate the power of these techniques. Periodic regulation of the cell cycle, connection with underlying energetics, and the inference of combinatorial logic are also discussed. An implementation based on regression splines is discussed in detail.
| Item Type: | Paper |
|---|---|
| Subjects: | bioinformatics > genomics and proteomics > annotation > gene expression profiling annotation bioinformatics > quantitative biology bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > genes, structure and function > gene regulation bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > genes, structure and function > gene regulation |
| CSHL Authors: | |
| Communities: | CSHL labs > Zhang lab |
| Depositing User: | CSHL Librarian |
| Date: | 2007 |
| Date Deposited: | 30 Nov 2011 19:49 |
| Last Modified: | 22 Mar 2018 16:22 |
| Related URLs: | |
| URI: | https://repository.cshl.edu/id/eprint/22990 |
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