Package: ROTS 1.33.0

Tomi Suomi

ROTS: Reproducibility-Optimized Test Statistic

Calculates the Reproducibility-Optimized Test Statistic (ROTS) for differential testing in omics data.

Authors:Fatemeh Seyednasrollah, Tomi Suomi, Laura L. Elo

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ROTS.pdf |ROTS.html
ROTS/json (API)
NEWS

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

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • affySpikeIn - Gene expression data from the Affymetrix spike-in experiment
  • affySpikeIn.L - Gene expression data from the Affymetrix spike-in experiment
  • affySpikeIn.gnames - Gene expression data from the Affymetrix spike-in experiment
  • spikedgene - Gene expression data from the Affymetrix spike-in experiment
  • upsSpikeIn - Protein expression data from the CPTAC Technology Assessment

On BioConductor:ROTS-1.33.0(bioc 3.20)ROTS-1.32.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

1 exports 1.45 score 3 dependencies 2 dependents 20 mentions

Last updated 2 months agofrom:339a2280a2

Exports:ROTS

Dependencies:BiobaseBiocGenericsRcpp

ROTS: Reproducibility Optimized Test Statistic

Rendered fromROTS.Rnwusingutils::Sweaveon Jun 30 2024.

Last update: 2023-02-17
Started: 2016-02-09