Gene Interaction in DNA Microarray Data Is Decomposed by Information Geometric Measure
Gene Interaction in DNA Microarray Data Is Decomposed by Information Geometric Measure
复制标题
DNA 微阵列数据中的基因相互作用通过信息几何测量进行分解
DOI：
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发表时间：
2003
期刊：
影响因子：
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通讯作者：
S. Amari
中科院分区：
文献类型：
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作者：
H. Nakahara;S. Nishimura;M. Inoue;G. Hori;S. Amari
动机
考虑到海量的基因表达数据，开发一种简单可靠的方法来研究基因相互作用的精细结构是至关重要的。我们展示了信息几何度量如何实现这一点。
结果
我们引入了一种二元随机向量的信息几何度量，并展示了该度量如何揭示基因相互作用的精细结构。特别是，我们提出了一个使用该度量的迭代过程(称为iPig)。这一过程发现了可能是两个感兴趣基因之间相互作用的高阶依赖关系。为了演示该方法，我们研究了来自人类急性淋巴细胞白血病细胞的数据中感兴趣的两个基因之间的相互作用。该方法成功地发现了生物学上已知的发现，并选择了其他基因作为构成这种相互作用的隐藏原因。
可用性
目前还没有软件，但将来可能会在http://www.mns.brain.riken.go.jp/~nakahara/DNA_pub.html上提供，那里也有所有相关信息的链接。
MOTIVATION
Given the vast amount of gene expression data, it is essential to develop a simple and reliable method of investigating the fine structure of gene interaction. We show how an information geometric measure achieves this.
RESULTS
We introduce an information geometric measure of binary random vectors and show how this measure reveals the fine structure of gene interaction. In particular, we propose an iterative procedure by using this measure (called IPIG). The procedure finds higher-order dependencies which may underlie the interaction between two genes of interest. To demonstrate the method, we investigate the interaction between the two genes of interest in the data from human acute lymphoblastic leukemia cells. The method successfully discovered biologically known findings and also selected other genes as hidden causes that constitute the interaction.
AVAILABILITY
Softwares are currently not available but are possibly made available in future at http://www.mns.brain.riken.go.jp/~nakahara/DNA_pub.html where all the related information is also linked.
影响因子：
50.3
作者：
Yeoh, EJ;Ross, ME;Downing, JR
通讯作者：
Downing, JR