Searching for microRNA Prostate Cancer Target Genes

被引：0
|
作者：
Masulli, Francesco [1 ]
Parini, Alessandro [1 ]
Rovetta, Stefano [1 ]
Russo, Giuseppe [1 ]
机构：
[1] Univ Genoa, Dept Comp & Informat Sci, I-16146 Genoa, Italy
来源：
IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6 | 2009年
关键词：
BINDING-SITES; EXPRESSION; RNA; IDENTIFICATION; PREDICTION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
MicroRNAs are a class of short, non-coding RNA regulating the expression of genes involved in several biological processes. This paper addresses the computational identification of target genes for microRNAs, in particular those involved in the development of prostate cancer. The available tools, in particular the miRanda program, need to be validated against biological evidence. We identify several refinement of the algorithm, and provide an optimization of the parameters involved, by means of a genetic algorithm, so as to maximize the adherence of results to biological evidence. The increased selectivity of the method may also be used to guide experimental validation in a more focused direction.
引用
收藏
页码：3171 / 3176
页数：6
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