A combinatorial approach to reconstructing transcriptional regulatory networks

Ying Z. Hsu*, Yuh-Jyh Hu

*Corresponding author for this work

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

Abstract

One of the major challenges in molecular biology is to understand the precise mechanism by which gene expression is regulated. Reconstruction of transcription networks is essential to modeling this mechanism. In this paper, we describe a novel approach for building transcription networks from transcription modules by combining expression profile correlations with probabilistic element assessment. To demonstrate its performance, we systematically tested it on 27 transcription modules and reconstructed the transcription network for 6 transcription factors and 15 genes involved in the yeast cell cycle. The experimental results show that our combinatorial approach can better filter false positives to increase the selectivity in prediction of target genes. The regulatory control relationships described by the network reconstructed also mostly agree with those in earlier studies.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, METMBS'04
EditorsF. Valafar, H. Valafar
Pages352-358
Number of pages7
StatePublished - 1 Dec 2004
EventProceedings of the International Conference on Mathematics and Engineering Techniques in medicine and Biological Sciences, METMBS'04 - Las Vegas, NV, United States
Duration: 21 Jun 200424 Jun 2004

Publication series

NameProceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, METMBS'04

Conference

ConferenceProceedings of the International Conference on Mathematics and Engineering Techniques in medicine and Biological Sciences, METMBS'04
CountryUnited States
CityLas Vegas, NV
Period21/06/0424/06/04

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  • Cite this

    Hsu, Y. Z., & Hu, Y-J. (2004). A combinatorial approach to reconstructing transcriptional regulatory networks. In F. Valafar, & H. Valafar (Eds.), Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, METMBS'04 (pp. 352-358). (Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, METMBS'04).