| Name : R-difconet
| |
| Version : 1.0.4
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.7.2
| Date : 2024-06-14 11:42:53
|
| Group : Development/Libraries/Other
| Source RPM : R-difconet-1.0.4-lp153.7.2.src.rpm
|
| Size : 0.08 MB
| |
| Packager : (none)
| |
| Summary : Differential Coexpressed Networks
|
Description :
Estimation of DIFferential COexpressed NETworks using diverse and user
metrics. This package is basically used for three functions related to
the estimation of differential coexpression. First, to estimate
differential coexpression where the coexpression is estimated, by
default, by Spearman correlation. For this, a metric to compare two
correlation distributions is needed. The package includes 6 metrics.
Some of them needs a threshold. A new metric can also be specified as a
user function with specific parameters (see difconet.run). The
significance is be estimated by permutations. Second, to generate
datasets with controlled differential correlation data. This is done by
either adding noise, or adding specific correlation structure. Third,
to show the results of differential correlation analyses. Please see
< http://bioinformatica.mty.itesm.mx/difconet> for further information.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
