Detecting microRNA activity from gene expression data
نویسندگان
چکیده
منابع مشابه
Detecting MicroRNA Targets by Linking Sequence, MicroRNA and Gene Expression Data
MicroRNAs (miRNAs) have recently been discovered as an important class of non-coding RNA genes that play a major role in regulating gene expression, providing a means to control the relative amounts of mRNA transcripts and their protein products. Although much work has been done in the genome-wide computational prediction of miRNA genes and their target mRNAs, two open questions are how miRNAs ...
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The regulation of gene expression in eukaryotes is a complex process still to be elucidated. It has been known for a long time that the coordinated actions of particular transcription factors play a fundamental role in this process, but discovering such cis-regulatory actions remains a challenging problem, both experimentally and computationally. We have developed a systematic approach to disco...
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MicroRNAs (miRNAs) are critical regulators in the complex cellular networks. The mirAct web server (http://sysbio.ustc.edu.cn/software/mirAct) is a tool designed to investigate miRNA activity based on gene-expression data by using the negative regulation relationship between miRNAs and their target genes. mirAct supports multiple-class data and enables clustering analysis based on computational...
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microRNAs (miRNAs) are a class of ∼22nt non-coding RNAs that potentially regulate over 60% of human protein-coding genes. miRNA activity is highly specific, differing between cell types, developmental stages and environmental conditions, so the identification of active miRNAs in a given sample is of great interest. Here we present a novel computational approach for analyzing both mRNA sequence ...
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BACKGROUND MicroRNAs (miRNAs) are small RNAs that recognize and regulate mRNA target genes. Multiple lines of evidence indicate that they are key regulators of numerous critical functions in development and disease, including cancer. However, defining the place and function of miRNAs in complex regulatory networks is not straightforward. Systems approaches, like the inference of a module networ...
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ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2010
ISSN: 1471-2105
DOI: 10.1186/1471-2105-11-257