Package: MVisAGe 0.2.1
MVisAGe: Compute and Visualize Bivariate Associations
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>.
Authors:
MVisAGe_0.2.1.tar.gz
MVisAGe_0.2.1.zip(r-4.5)MVisAGe_0.2.1.zip(r-4.4)MVisAGe_0.2.1.zip(r-4.3)
MVisAGe_0.2.1.tgz(r-4.4-any)MVisAGe_0.2.1.tgz(r-4.3-any)
MVisAGe_0.2.1.tar.gz(r-4.5-noble)MVisAGe_0.2.1.tar.gz(r-4.4-noble)
MVisAGe_0.2.1.tgz(r-4.4-emscripten)MVisAGe_0.2.1.tgz(r-4.3-emscripten)
MVisAGe.pdf |MVisAGe.html✨
MVisAGe/json (API)
NEWS
# Install 'MVisAGe' in R: |
install.packages('MVisAGe', repos = c('https://vonnwalter23.r-universe.dev', 'https://cloud.r-project.org')) |
- cn.mat - DNA copy number data from 98 head and neck squamous cell carcinoma (HNSC) patients
- exp.mat - Gene expression data from 100 head and neck squamous cell carcinoma (HNSC) patients
- gene.annot - Gene annotation data
- sample.annot - Sample annotation data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:999e6fac45. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 15 2024 |
R-4.5-win | OK | Nov 15 2024 |
R-4.5-linux | OK | Nov 15 2024 |
R-4.4-win | OK | Nov 15 2024 |
R-4.4-mac | OK | Nov 15 2024 |
R-4.3-win | OK | Nov 15 2024 |
R-4.3-mac | OK | Nov 15 2024 |
Exports:cn.region.heatmapcorr.computecorr.list.computedata.prepperm.significanceperm.significance.list.computesmooth.genome.plotsmooth.region.plottcga.cn.converttcga.exp.convertunsmooth.region.plot
Dependencies: