Package: denoiSeq 0.1.1

denoiSeq: Differential Expression Analysis Using a Bottom-Up Model

Given count data from two conditions, it determines which transcripts are differentially expressed across the two conditions using Bayesian inference of the parameters of a bottom-up model for PCR amplification. This model is developed in Ndifon Wilfred, Hilah Gal, Eric Shifrut, Rina Aharoni, Nissan Yissachar, Nir Waysbort, Shlomit Reich Zeliger, Ruth Arnon, and Nir Friedman (2012), <http://www.pnas.org/content/109/39/15865.full>, and results in a distribution for the counts that is a superposition of the binomial and negative binomial distribution.

Authors:Gershom Buri [aut, cre], Wilfred Ndifon [aut]

denoiSeq_0.1.1.tar.gz
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denoiSeq.pdf |denoiSeq.html✨
denoiSeq/json (API)
NEWS

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

Bug tracker:https://github.com/buriom/denoiseq/issues

Datasets:

On CRAN:

3.70 score 10 scripts 119 downloads 7 exports 0 dependencies

Last updated 7 years agofrom:96e6299657. Checks:1 OK, 7 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 06 2025
R-4.5-winWARNINGFeb 06 2025
R-4.5-macWARNINGFeb 06 2025
R-4.5-linuxWARNINGFeb 06 2025
R-4.4-winWARNINGFeb 06 2025
R-4.4-macWARNINGFeb 06 2025
R-4.3-winWARNINGFeb 06 2025
R-4.3-macWARNINGFeb 06 2025

Exports:denoiseqgetSamplesOfresultssetInitValuessetReplicatessetStepSizestunedStepSize

Dependencies:

denoiSeq: Differential expression analysis using a bottom-up approach

Gershom Buri, Wilfred Ndifon

Rendered fromdenoiSeq-vignette.Rmdusingknitr::rmarkdownon Feb 06 2025.

Last update: 2018-01-17
Started: 2017-05-03