| Name : R-BClustLonG
| |
| Version : 0.1.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.11.4
| Date : 2024-09-12 10:42:53
|
| Group : Development/Libraries/Other
| Source RPM : R-BClustLonG-0.1.3-lp153.11.4.src.rpm
|
| Size : 0.59 MB
| |
| Packager : (none)
| |
| Summary : A Dirichlet Process Mixture Model for Clustering Longitudinal Gene Expression Data
|
Description :
Many clustering methods have been proposed, but most of them cannot
work for longitudinal gene expression data. \'BClustLonG\' is a package
that allows us to perform clustering analysis for longitudinal gene
expression data. It adopts a linear-mixed effects framework to model
the trajectory of genes over time, while clustering is jointly
conducted based on the regression coefficients obtained from all genes.
To account for the correlations among genes and alleviate the high
dimensionality challenges, factor analysis models are adopted for the
regression coefficients. The Dirichlet process prior distribution is
utilized for the means of the regression coefficients to induce
clustering. This package allows users to specify which variables to use
for clustering (intercepts or slopes or both) and whether a factor
analysis model is desired. More details about this method can be found
in Jiehuan Sun, et al. (2017) < doi:10.1002/sim.7374>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
