A framework for integrative analysis of transcriptional and post-transcriptional gene regulation

被引：0

作者：

Ogul, Hasan ^{[1
]}

Ozcan, Giray S. ^{[1
]}

机构：

[1] Baskent Univ, Dept Comp Engn, TR-06490 Ankara, Turkey

来源：

2013 7TH INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT) | 2013年

关键词：

Gene regulation; microRNA; transcription factor; Bayesian network; data integration;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Gene regulation is a complex biological phenomenon. A reliable analysis of this process requires the integration of several data sources in a rigorous pipeline. Here, we propose an approach for simultaneous modeling of transcriptional and post-transcriptional gene regulation over a Bayesian module network. The framework uses paired samples of mRNA and microRNA expressions and their sequence data to produce low-level regulatory circuits in addition to the coregulated entities of mRNAs, microRNAs and transcription factors. The experiments performed on a real cancer dataset reveal that several biologically meaningful clusters and motifs can be inferred. The results lead to the generation of some testable biological hypotheses.

引用

页码：145 / 149

页数：5

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