Package: sights 1.31.0

Elika Garg

sights: Statistics and dIagnostic Graphs for HTS

SIGHTS is a suite of normalization methods, statistical tests, and diagnostic graphical tools for high throughput screening (HTS) assays. HTS assays use microtitre plates to screen large libraries of compounds for their biological, chemical, or biochemical activity.

Authors:Elika Garg [aut, cre], Carl Murie [aut], Heydar Ensha [ctb], Robert Nadon [aut]

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sights.pdf |sights.html✨
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NEWS

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

Peer review:

Bug tracker:https://github.com/eg-r/sights/issues

Datasets:
  • ex_dataMatrix - High-Throughput Screening example data - CMBA
  • inglese - High-Throughput Screening example data - Inglese

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

bioconductor-package

19 exports 0.91 score 34 dependencies 1 mentions

Last updated 2 months agofrom:e0770f1bab

Exports:normLoessnormMedFilnormRnormRobZnormSightsnormSPAWNnormZplot3dplotAutocoplotBoxplotHeatmapplotHistplotIGFitplotScatterplotSightsstatFDRstatRVMstatSightsstatT

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrqvalueR6RColorBrewerRcppreshape2rlangscalesstringistringrtibbleutf8vctrsviridisLitewithr

Using SIGHTS R-package

Elika Garg, Carl Murie and Robert Nadon

Rendered fromsights.Rmdusingknitr::rmarkdownon Jun 30 2024.

Last update: 2018-08-30
Started: 2016-06-17