| Name : R-modACDC
| |
| Version : 2.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.4
| Date : 2024-06-14 12:09:04
|
| Group : Development/Libraries/Other
| Source RPM : R-modACDC-2.0.1-lp153.1.4.src.rpm
|
| Size : 0.10 MB
| |
| Packager : (none)
| |
| Summary : Association of Covariance for Detecting Differential Co-Expression
|
Description :
A series of functions to implement association of covariance for
detecting differential co-expression (ACDC), a novel approach for
detection of differential co-expression that simultaneously
accommodates multiple phenotypes or exposures with binary, ordinal, or
continuous data types. Users can use the default method which
identifies modules by Partition or may supply their own modules. Also
included are functions to choose an information loss criterion (ILC)
for Partition using OmicS-data-based Complex trait Analysis (OSCA) and
Genome-wide Complex trait Analysis (GCTA). The manuscript describing
these methods is as follows: Queen K, Nguyen MN, Gilliland F, Chun S,
Raby BA, Millstein J. \"ACDC: a general approach for detecting phenotype
or exposure associated co-expression\" (2023)
< doi:10.3389/fmed.2023.1118824>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
