A rule-based framework for gene regulation pathways discovery

被引：0

作者：

Wilczynski, B ^{[1
]}

Hvidsten, T ^{[1
]}

Kryshtafovych, A ^{[1
]}

Stubbs, L ^{[1
]}

Komorowski, J ^{[1
]}

Fidelis, K ^{[1
]}

机构：

[1] Lawrence Livermore Natl Lab, Livermore, CA 94550 USA

来源：

PROCEEDINGS OF THE 2003 IEEE BIOINFORMATICS CONFERENCE | 2003年

关键词：

D O I：

10.1109/CSB.2003.1227361

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

We present a novel approach for rule discovery in the area of gene regulation. The method is based on supervised machine learning and is designed to reveal relationships between transcription factors and gene expression. As a representation of the gene regulatory circuit we have chosen a special form of the IF-THEN rules associating predefined features, taken here as a generalized idea of transcription factor binding sites in gene regulatory regions, with the corresponding gene expression profiles.

引用

页码：435 / 436

页数：2

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