Building gene networks with time-delayed regulations

被引：10

作者：

Chaturvedi, Iti ^{[1
]}

Rajapakse, Jagath C. ^{[1
,2
,3
]}

机构：

[1] Nanyang Technol Univ, Sch Comp Engn, Bioinformat Res Ctr, Singapore 639798, Singapore

[2] MIT, Dept Biol Engn, Cambridge, MA 02139 USA

[3] Singapore MIT Alliance, Singapore 117543, Singapore

来源：

PATTERN RECOGNITION LETTERS | 2010年 / 31卷 / 14期

关键词：

Dynamic Bayesian networks; Gene regulatory networks; Viterbi algorithm; Skip-chain model; Genetic algorithms;

D O I：

10.1016/j.patrec.2010.03.002

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose a method to build gene regulatory networks (GRN) capable of representing time-delayed regulations. The gene expression data is represented in two types of graphical models: a linear model using a dynamic Bayesian network (DBN) and a skip model using a hidden Markov model. The linear model is designed to find short-delays and skip model for long-delays. The algorithm was tested on time-series data obtained on yeast cell-cycle and validated against protein-protein interaction data. The proposed method better fits expression profiles compared to classical higher-order DBN and found core genes that are crucial in cell-cycle regulation. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：2133 / 2137

页数：5

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