Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9871277 | Physics of Life Reviews | 2005 | 24 Pages |
Abstract
Microarray technologies, which enable the simultaneous measurement of all RNA transcripts in a cell, have spawned the development of algorithms for reverse-engineering transcription control networks. In this article, we classify the algorithms into two general strategies: physical modeling and influence modeling. We discuss the biological and computational principles underlying each strategy, and provide leading examples of each. We also discuss the practical considerations for developing and applying the various methods.
Keywords
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Physics and Astronomy (General)
Authors
Timothy S. Gardner, Jeremiah J. Faith,