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Pearson and Spearman correlation coefficients are commonly used to quantify the strength of bivariate associations of genomic variables. For example, correlations of gene-level DNA copy number and gene expression measurements may be used to assess the impact of DNA copy number changes on gene expression in tumor tissue. 'MVisAGe' enables users to quickly compute and visualize the correlations in order to assess the effect of regional genomic events such as changes in DNA copy number or DNA methylation level. Please see Walter V, Du Y, Danilova L, Hayward MC, Hayes DN, 2018. Cancer Research <doi:10.1158/0008-5472.CAN-17-3464>.
| Version: | 0.2.1 |
| Depends: | R (≥ 3.3.1) |
| Suggests: | R.rsp |
| Published: | 2018-05-10 |
| Author: | Vonn Walter [aut, cre] |
| Maintainer: | Vonn Walter <vwalter1 at pennstatehealth.psu.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | MVisAGe results |
| Reference manual: | MVisAGe.pdf |
| Vignettes: |
R packages: Static PDF vignettes |
| Package source: | MVisAGe_0.2.1.tar.gz |
| Windows binaries: | r-devel: MVisAGe_0.2.1.zip, r-release: MVisAGe_0.2.1.zip, r-oldrel: MVisAGe_0.2.1.zip |
| macOS binaries: | r-release (arm64): MVisAGe_0.2.1.tgz, r-oldrel (arm64): MVisAGe_0.2.1.tgz, r-release (x86_64): MVisAGe_0.2.1.tgz, r-oldrel (x86_64): MVisAGe_0.2.1.tgz |
| Old sources: | MVisAGe archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.