Package: ctsGE 1.31.0

Michal Sharabi-Schwager

ctsGE: Clustering of Time Series Gene Expression data

Methodology for supervised clustering of potentially many predictor variables, such as genes etc., in time series datasets Provides functions that help the user assigning genes to predefined set of model profiles.

Authors:Michal Sharabi-Schwager [aut, cre], Ron Ophir [aut]

ctsGE_1.31.0.tar.gz
ctsGE_1.31.0.zip(r-4.5)ctsGE_1.31.0.zip(r-4.4)ctsGE_1.31.0.zip(r-4.3)
ctsGE_1.31.0.tgz(r-4.4-any)ctsGE_1.31.0.tgz(r-4.3-any)
ctsGE_1.31.0.tar.gz(r-4.5-noble)ctsGE_1.31.0.tar.gz(r-4.4-noble)
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ctsGE.pdf |ctsGE.html
ctsGE/json (API)

# Install 'ctsGE' in R:
install.packages('ctsGE', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/michalsharabi/ctsge/issues

On BioConductor:ctsGE-1.31.0(bioc 3.20)ctsGE-1.30.0(bioc 3.19)

bioconductor-package

6 exports 1.00 score 63 dependencies 1 mentions

Last updated 2 months agofrom:6f0d3eaafd

Exports:ClustIndexesctsGEShinyAppindexPlotIndexesClustPreparingTheIndexesreadTSGE

Dependencies:base64encbslibcachemccaPPclicolorspacecommonmarkcrayonDEoptimRdigestfansifarverfastmapfontawesomefsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclelimmamagrittrMASSMatrixmemoisemgcvmimemunsellmvtnormnlmepcaPPpillarpkgconfigplyrpromisesR6rappdirsRColorBrewerRcppRcppArmadilloreshape2rlangrobustbasesassscalesshinysourcetoolsstatmodstringistringrtibbleutf8vctrsviridisLitewithrxtable

ctsGE Package

Rendered fromctsGE.Rmdusingknitr::rmarkdownon Jun 30 2024.

Last update: 2018-08-30
Started: 2016-07-19