ノイズの含まれた時系列データからの遺伝子ネットワークのS-systemモデル同定

Chem-Bio Informatics Journal

木村 周平¹  小長�? 明彦¹  畠山 眞里子¹ 

[1] 理化学研究所ゲノム科学総合研究センター

关键词: Genetic network;    遺伝子ネットワーク;    S-system;    DNA microarray;    DNAマイクロアレイ;    Real-coded GA;    実数値遺伝的アルゴリズム;    Problem decomposition;    問題分割;   

DOI  :  10.1273/cbij.4.1

学科分类：生物化学/生物物理

来源: Chem-Bio Informatics Society

【 摘 要 】

References(19)Cited-By(15)In this paper, we propose a new method for the inference of S-system models of large-scale genetic networks from the observed time-series data of gene expression patterns. The proposed method employs a technique to decompose the genetic network inference problem into several subproblems. The S-system parameters are estimated by solving these decomposed subproblems. In addition, the proposed method estimates the initial levels of the gene expression. The estimation of the initial gene expression levels is necessary when the noisy time-series data are given. We verify the effectiveness of the proposed method through the genetic network inference problems.

【 授权许可】

Unknown