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TIME SERIES ANALYSIS OF GENE EXPRESSION AND LOCATION DATA.
- Source :
-
International Journal on Artificial Intelligence Tools . Oct2005, Vol. 14 Issue 5, p755-769. 15p. - Publication Year :
- 2005
-
Abstract
- We develop a method for integrating time series expression profiles and factor-gene binding data to quantify dynamic aspects of gene regulation. We estimate latencies for transcription activation by explaining time correlations between gene expression profiles through available factor-gene binding information. The resulting aligned expression profiles are subsequently clustered and again combined with binding information to determine groups or subgroups of co-regulated genes. The predictions derived from this approach are consistent with existing results.1,2 Our analysis also provides several hypotheses not implicated in previous studies. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02182130
- Volume :
- 14
- Issue :
- 5
- Database :
- Academic Search Index
- Journal :
- International Journal on Artificial Intelligence Tools
- Publication Type :
- Academic Journal
- Accession number :
- 18430386
- Full Text :
- https://doi.org/10.1142/S0218213005002375