Independent component analysis for mining gene expression data

The study described in this publication used independent component analysis to extract information about fundamental human gene expression modules from a large compendium of microarray data. This project contains the code and results for this study. <br/><br/>This project includes the following software/data packages: <br/> <ul> <li> <a href="https://simtk.org/frs?group_id=530#pack_871">FCAnalysis R Package </a> : This R package contains code for extracting fundamental components from a compendium of microarray data. It also contains an R data file of our human fundamental components. </li> <li> <a href="https://simtk.org/frs?group_id=530#pack_872">Fundamental module gene lists </a> : This package contains text tables of the active genes in the dominant modules of our 423 fundamental human gene expression modules. </li> </ul>

本出版物所述研究运用独立成分分析法，从大量微阵列数据集中提取有关人类基因表达基本模块的信息。该项目包含该研究的相关代码和结果。

本项目包含以下软件/数据包：

<ul>
<li><a href="https://simtk.org/frs?group_id=530#pack_871">FCAnalysis R 包 </a>：该 R 包包含从微阵列数据集中提取基本成分的代码，并附有人类基本成分的 R 数据文件。</li>
<li><a href="https://simtk.org/frs?group_id=530#pack_872">基本模块基因列表 </a>：本包包含活跃于我们 423 个基本人类基因表达模块主导模块中的基因的文本表格。</li>
</ul>