Inference of Genetic Regulatory Networks Using an Estimation of Distribution Algorithm

被引：0

作者：

Salva, Thyago ^{[1
]}

Emmendorfer, Leonardo R. ^{[1
]}

Werhli, Adriano V. ^{[1
]}

机构：

[1] Univ Fed Rio Grande FURG, Programa Posgrad Comp, Ctr Ciencias Computac C3, Rio Grande, Brazil

来源：

ADVANCES IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY | 2013年 / 8213卷

关键词：

Genetic Regulatory Networks; Estimation of Distribution Algorithm; Bayesian Networks; MODELS;

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：

Inference of Genetic Regulatory Networks from sparse and noisy expression data is still a challenge nowadays. In this work we use an Estimation of Distribution Algorithm to infer Genetic Regulatory Networks. In order to evaluate the algorithm we apply it to three types of data: (i) data simulated from a multivariate Gaussian distribution, (ii) data simulated from a realistic simulator, GeneNetWeaver and (iii) data from flow cytometry experiments. The proposed inference method shows a performance comparable with traditional inference algorithms in terms of the network reconstruction accuracy.

引用

页码：148 / 159

页数：12

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