| Name : R-TCA
| |
| Version : 1.2.1
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp154.10.1
| Date : 2024-06-20 16:47:04
|
| Group : Development/Libraries/Other
| Source RPM : R-TCA-1.2.1-lp154.10.1.src.rpm
|
| Size : 0.92 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Tensor Composition Analysis
|
Description :
Tensor Composition Analysis (TCA) allows the deconvolution of
two-dimensional data (features by observations) coming from a mixture
of heterogeneous sources into a three-dimensional matrix of signals
(features by observations by sources). The TCA framework further allows
to test the features in the data for different statistical relations
with an outcome of interest while modeling source-specific effects;
particularly, it allows to look for statistical relations between
source-specific signals and an outcome. For example, TCA can deconvolve
bulk tissue-level DNA methylation data (methylation sites by
individuals) into a three-dimensional tensor of cell-type-specific
methylation levels for each individual (i.e. methylation sites by
individuals by cell types) and it allows to detect cell-type-specific
statistical relations (associations) with phenotypes. For more details
see Rahmani et al. (2019) < DOI:10.1038/s41467-019-11052-9>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
