| Name : R-MVisAGe
| |
| Version : 0.2.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:03:09
|
| Group : Development/Libraries/Other
| Source RPM : R-MVisAGe-0.2.1-lp153.2.13.src.rpm
|
| Size : 1.79 MB
| |
| Packager : (none)
| |
| Summary : Compute and Visualize Bivariate Associations
|
Description :
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>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
