Information theoretic inference of direct gene regulation from time series data

Wentao Zhao, Erchin Serpedin, Edward R. Dougherty

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper considers the problem of inferring the oriented connectivity of genetic regulatory networks based on the time series gene expression profiles produced by DNA microarrays. The inference algorithm is implemented based on the minimum description length (MDL) principle. Simulation results show that for synthetic networks the proposed algorithm achieves a good performance, while in the presence of realistic time series data it is capable of providing novel insight into the inner structure of various regulatory circuitries.

Original languageEnglish
Title of host publication2006 IEEE International Workshop on Genomic Signal Processing and Statstics, GENSIPS 2006
Pages5-6
Number of pages2
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006 - College Station, TX, United States
Duration: 28 May 200630 May 2006

Other

Other2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006
CountryUnited States
CityCollege Station, TX
Period28/5/0630/5/06

Fingerprint

Gene Regulation
Time Series Data
Gene expression
Time series
Genetic Regulatory Networks
DNA Microarray
Gene Expression Profile
Microarrays
Oligonucleotide Array Sequence Analysis
Transcriptome
Genes
Connectivity
DNA
Simulation

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Statistics and Probability

Cite this

Zhao, W., Serpedin, E., & Dougherty, E. R. (2006). Information theoretic inference of direct gene regulation from time series data. In 2006 IEEE International Workshop on Genomic Signal Processing and Statstics, GENSIPS 2006 (pp. 5-6). [4161749] https://doi.org/10.1109/GENSIPS.2006.353128

Information theoretic inference of direct gene regulation from time series data. / Zhao, Wentao; Serpedin, Erchin; Dougherty, Edward R.

2006 IEEE International Workshop on Genomic Signal Processing and Statstics, GENSIPS 2006. 2006. p. 5-6 4161749.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhao, W, Serpedin, E & Dougherty, ER 2006, Information theoretic inference of direct gene regulation from time series data. in 2006 IEEE International Workshop on Genomic Signal Processing and Statstics, GENSIPS 2006., 4161749, pp. 5-6, 2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006, College Station, TX, United States, 28/5/06. https://doi.org/10.1109/GENSIPS.2006.353128
Zhao W, Serpedin E, Dougherty ER. Information theoretic inference of direct gene regulation from time series data. In 2006 IEEE International Workshop on Genomic Signal Processing and Statstics, GENSIPS 2006. 2006. p. 5-6. 4161749 https://doi.org/10.1109/GENSIPS.2006.353128
Zhao, Wentao ; Serpedin, Erchin ; Dougherty, Edward R. / Information theoretic inference of direct gene regulation from time series data. 2006 IEEE International Workshop on Genomic Signal Processing and Statstics, GENSIPS 2006. 2006. pp. 5-6
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