Package: Trendy 1.29.0

Rhonda Bacher

Trendy: Breakpoint analysis of time-course expression data

Trendy implements segmented (or breakpoint) regression models to estimate breakpoints which represent changes in expression for each feature/gene in high throughput data with ordered conditions.

Authors:Rhonda Bacher and Ning Leng

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NEWS

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

Peer review:

Bug tracker:https://github.com/rhondabacher/trendy/issues

Datasets:

On BioConductor:Trendy-1.29.0(bioc 3.21)Trendy-1.28.0(bioc 3.20)

timecoursernaseqregressionimmunooncology

6.53 score 6 stars 14 scripts 212 downloads 8 mentions 13 exports 90 dependencies

Last updated 2 months agofrom:e2f06d3f3e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 04 2024
R-4.5-winOKDec 04 2024
R-4.5-linuxOKDec 04 2024
R-4.4-winOKDec 04 2024
R-4.4-macOKDec 04 2024
R-4.3-winOKDec 04 2024
R-4.3-macOKDec 04 2024

Exports:breakpointDistbreakpointFitextractPatternfitSegBICformatFuncformatResultsgetCountsplotFeatureresultstopTrendytrendHeatmaptrendytrendyShiny

Dependencies:abindaskpassbase64encBHBiobaseBiocGenericsBiocParallelbitopsbslibcachemcaToolsclicodetoolscommonmarkcpp11crayoncrosstalkcurlDelayedArraydigestDTevaluatefansifastmapfontawesomeformatRfsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesgluegplotsgtoolshighrhtmltoolshtmlwidgetshttpuvhttrIRangesjquerylibjsonliteKernSmoothknitrlambda.rlaterlatticelazyevallifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemimenlmeopensslpillarpkgconfigpromisesR6rappdirsRcpprlangrmarkdownS4ArraysS4VectorssasssegmentedshinyshinyFilessnowsourcetoolsSparseArraySummarizedExperimentsystibbletinytexUCSC.utilsutf8vctrswithrxfunxtableXVectoryamlzlibbioc

Trendy Vignette

Rendered fromTrendy_vignette.Rnwusingknitr::knitron Dec 04 2024.

Last update: 2019-11-13
Started: 2018-01-08