PCIT：一个基于偏相关和信息理论方法的加权基因共表达网络的 R 包。
PCIT: an R package for weighted gene co-expression networks based on partial correlation and information theory approaches.
机构信息
CSIRO Livestock Industries, Queensland Bioscience Precinct, St Lucia, QLD 4067, Australia.
出版信息
Bioinformatics. 2010 Feb 1;26(3):411-3. doi: 10.1093/bioinformatics/btp674. Epub 2009 Dec 9.
SUMMARY
We make the PCIT algorithm, used for detecting meaningful gene-gene associations in co-expression networks, available as an R package. Automatic detection of a suitable parallel environment is used such that scripts are portable between parallel and non-parallel environments with no modification of the script.
AVAILABILITY AND IMPLEMENTATION
Source code and binaries freely available (under GPL-3) for download via CRAN at http://cran.r-project.org/package=PCIT, implemented in R and supported on Linux and MS Windows.
摘要
我们将用于检测共表达网络中具有意义的基因-基因关联的 PCIT 算法制作成一个 R 包供使用。该算法自动检测合适的并行环境，使得脚本在无需修改脚本的情况下可在并行和非并行环境之间移植。
可及性和实现
源代码和二进制文件可自由下载（遵循 GPL-3），可通过 http://cran.r-project.org/package=PCIT 在 CRAN 上下载，该算法用 R 编写，支持 Linux 和 MS Windows。
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