Package: Trendy 1.35.0

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

Trendy_1.35.0.tar.gz
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manual.pdf |manual.html
card.svg |card.png
Trendy/json (API)
NEWS

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

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

Datasets:

On BioConductor:Trendy-1.35.0(bioc 3.24)Trendy-1.34.0(bioc 3.23)

timecoursernaseqregressionimmunooncology

6.70 score 7 stars 18 scripts 383 downloads 8 mentions 13 exports 81 dependencies

Last updated from:2eb84050b7. Checks:1 ERROR, 9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR191
linux-devel-x86_64OK306
source / vignettesOK353
linux-release-x86_64OK350
macos-release-arm64OK178
macos-oldrel-arm64OK168
windows-develOK225
windows-releaseOK210
windows-oldrelOK220
wasm-releaseOK158

Exports:breakpointDistbreakpointFitextractPatternfitSegBICformatFuncformatResultsgetCountsplotFeatureresultstopTrendytrendHeatmaptrendytrendyShiny

Dependencies:abindbase64encBHBiobaseBiocGenericsBiocParallelbitopsbslibcachemcaToolsclicodetoolscommonmarkcpp11crosstalkDelayedArraydigestDTevaluatefastmapfontawesomeformatRfsfutile.loggerfutile.optionsgenericsGenomicRangesgluegplotsgtoolshighrhtmltoolshtmlwidgetshttpuvIRangesjquerylibjsonliteKernSmoothknitrlambda.rlaterlatticelazyevallifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemimenlmeotelpillarpkgconfigpromisesR6rappdirsRcpprlangrmarkdownS4ArraysS4VectorssasssegmentedSeqinfoshinyshinyFilessnowsourcetoolsSparseArraySummarizedExperimenttibbletinytexutf8vctrswithrxfunxtableXVectoryaml

Trendy Vignette

Rendered fromTrendy_vignette.Rnwusingknitr::knitron May 30 2026.

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