一种使用活细胞阵列数据生成网络的新型非重叠双聚类算法。
A novel non-overlapping bi-clustering algorithm for network generation using living cell array data.
作者信息
Yang E, Foteinou P T, King K R, Yarmush M L, Androulakis I P
机构信息
Department of Biomedical Engineering, Rutgers University, Piscataway, NJ 08854, USA.
出版信息
Bioinformatics. 2007 Sep 1;23(17):2306-13. doi: 10.1093/bioinformatics/btm335. Epub 2007 Sep 7.
Abstract
The living cell array quantifies the contribution of activated transcription factors upon the expression levels of their target genes. The direct manipulation of the regulatory mechanisms offers enormous possibilities for deciphering the machinery that activates and controls gene expression. We propose a novel bi-clustering algorithm for generating non-overlapping clusters of reporter genes and conditions and demonstrate how this information can be interpreted in order to assist in the construction of transcription factor interaction networks.
摘要
活细胞阵列可量化激活的转录因子对其靶基因表达水平的贡献。对调控机制的直接操纵为解读激活和控制基因表达的机制提供了巨大的可能性。我们提出了一种新颖的双聚类算法，用于生成报告基因和条件的非重叠簇，并展示了如何解读这些信息以协助构建转录因子相互作用网络。
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