| Name : R-GPrank
| |
| Version : 0.1.4
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.6.11
| Date : 2024-06-14 12:06:07
|
| Group : Development/Libraries/Other
| Source RPM : R-GPrank-0.1.4-lp153.6.11.src.rpm
|
| Size : 0.49 MB
| |
| Packager : (none)
| |
| Summary : Gaussian Process Ranking of Multiple Time Series
|
Description :
Implements a Gaussian process (GP)-based ranking method which can be
used to rank multiple time series according to their temporal activity
levels. An example is the case when expression levels of all genes are
measured over a time course and the main concern is to identify the
most active genes, i.e. genes which show significant non-random
variation in their expression levels. This is achieved by computing
Bayes factors for each time series by comparing the marginal
likelihoods under time-dependent and time-independent GP models.
Additional variance information from pre-processing of the observations
is incorporated into the GP models, which makes the ranking more robust
against model overfitting. The package supports exporting the results
to \'tigreBrowser\' for visualisation, filtering or ranking.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
