Package: ctsGE 1.33.0
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:
ctsGE_1.33.0.tar.gz
ctsGE_1.33.0.zip(r-4.5)ctsGE_1.33.0.zip(r-4.4)ctsGE_1.33.0.zip(r-4.3)
ctsGE_1.33.0.tgz(r-4.5-any)ctsGE_1.33.0.tgz(r-4.4-any)ctsGE_1.33.0.tgz(r-4.3-any)
ctsGE_1.33.0.tar.gz(r-4.5-noble)ctsGE_1.33.0.tar.gz(r-4.4-noble)
ctsGE_1.33.0.tgz(r-4.4-emscripten)ctsGE_1.33.0.tgz(r-4.3-emscripten)
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')) |
Bug tracker:https://github.com/michalsharabi/ctsge/issues
On BioConductor:ctsGE-1.33.0(bioc 3.21)ctsGE-1.32.0(bioc 3.20)
immunooncologygeneexpressiontranscriptiondifferentialexpressiongenesetenrichmentgeneticsbayesianclusteringtimecoursesequencingrnaseq
Last updated 4 months agofrom:ae475eec45. Checks:5 OK, 3 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 05 2025 |
| R-4.5-win | NOTE | Feb 05 2025 |
| R-4.5-mac | NOTE | Feb 05 2025 |
| R-4.5-linux | NOTE | Feb 05 2025 |
| R-4.4-win | OK | Feb 05 2025 |
| R-4.4-mac | OK | Feb 05 2025 |
| R-4.3-win | OK | Feb 05 2025 |
| R-4.3-mac | OK | Feb 05 2025 |
Exports:ClustIndexesctsGEShinyAppindexPlotIndexesClustPreparingTheIndexesreadTSGE
Dependencies:base64encbslibcachemccaPPclicolorspacecommonmarkcrayonDEoptimRdigestfansifarverfastmapfontawesomefsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclelimmamagrittrMASSMatrixmemoisemgcvmimemunsellmvtnormnlmepcaPPpillarpkgconfigplyrpromisesR6rappdirsRColorBrewerRcppRcppArmadilloreshape2rlangrobustbasesassscalesshinysourcetoolsstatmodstringistringrtibbleutf8vctrsviridisLitewithrxtable
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Clustering the indexes applying K-means | ClustIndexes |
| GUI for interactive exploration of gene expression data. | ctsGEShinyApp |
| Indexing function | index |
| Graphic visualization of an index | PlotIndexesClust |
| Define an expression index for each gene | PreparingTheIndexes |
| Read and merge a set of files containing gene expression data | readTSGE |
