There have been many studies to reveal the outcome related genes associated with a disease or a trait. Unlike the methods to compare the gene expression levels with mean scale, our study is focusing the coexpression of genes by regulatory factors in a gene set. We propose the CTGSA which calculates a statistic with thresholded correlation matrix and gives the selection of tuning parameter through percentile of correlations. It also calculates p-values which control the type I error rate.
Package details |
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| Author | Mingyu Oh |
| Maintainer | Kipoong Kim <kkp7700@gmail.com> |
| License | GPL-2 |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
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