| Name : R-TTCA
| |
| Version : 0.1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.5.11
| Date : 2024-06-14 11:48:37
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| Group : Development/Libraries/Other
| Source RPM : R-TTCA-0.1.1-lp153.5.11.src.rpm
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| Size : 1.25 MB
| |
| Packager : (none)
| |
| Summary : Transcript Time Course Analysis
|
Description :
The analysis of microarray time series promises a deeper insight into
the dynamics of the cellular response following stimulation. A common
observation in this type of data is that some genes respond with quick,
transient dynamics, while other genes change their expression slowly
over time. The existing methods for detecting significant expression
dynamics often fail when the expression dynamics show a large
heterogeneity. Moreover, these methods often cannot cope with irregular
and sparse measurements. The method proposed here is specifically
designed for the analysis of perturbation responses. It combines
different scores to capture fast and transient dynamics as well as slow
expression changes, and performs well in the presence of low replicate
numbers and irregular sampling times. The results are given in the form
of tables including links to figures showing the expression dynamics of
the respective transcript. These allow to quickly recognise the
relevance of detection, to identify possible false positives and to
discriminate early and late changes in gene expression. An extension of
the method allows the analysis of the expression dynamics of functional
groups of genes, providing a quick overview of the cellular response.
The performance of this package was tested on microarray data derived
from lung cancer cells stimulated with epidermal growth factor (EGF).
Paper: Albrecht, Marco, et al. (2017)< DOI:10.1186/s12859-016-1440-8>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
