Package: ERSSA 1.25.0

Zixuan Shao

ERSSA: Empirical RNA-seq Sample Size Analysis

The ERSSA package takes user supplied RNA-seq differential expression dataset and calculates the number of differentially expressed genes at varying biological replicate levels. This allows the user to determine, without relying on any a priori assumptions, whether sufficient differential detection has been acheived with their RNA-seq dataset.

Authors:Zixuan Shao [aut, cre]

ERSSA_1.25.0.tar.gz
ERSSA_1.25.0.zip(r-4.5)ERSSA_1.25.0.zip(r-4.4)ERSSA_1.25.0.zip(r-4.3)
ERSSA_1.25.0.tgz(r-4.4-any)ERSSA_1.25.0.tgz(r-4.3-any)
ERSSA_1.25.0.tar.gz(r-4.5-noble)ERSSA_1.25.0.tar.gz(r-4.4-noble)
ERSSA_1.25.0.tgz(r-4.4-emscripten)ERSSA_1.25.0.tgz(r-4.3-emscripten)
ERSSA.pdf |ERSSA.html
ERSSA/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/zshao1/erssa/issues

Datasets:

On BioConductor:ERSSA-1.25.0(bioc 3.21)ERSSA-1.24.0(bioc 3.20)

immunooncologygeneexpressiontranscriptiondifferentialexpressionrnaseqmultiplecomparisonqualitycontrol

4.48 score 1 scripts 207 downloads 11 exports 80 dependencies

Last updated 2 months agofrom:63a52f8a83. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 29 2024
R-4.5-winNOTENov 29 2024
R-4.5-linuxNOTENov 29 2024
R-4.4-winNOTENov 29 2024
R-4.4-macNOTENov 29 2024
R-4.3-winNOTENov 29 2024
R-4.3-macNOTENov 29 2024

Exports:comb_gencount_filtererssaerssa_deseq2erssa_deseq2_parallelerssa_edgererssa_edger_parallelggplot2_dotplotggplot2_intersectPlotggplot2_marginPlotggplot2_TPR_FPRPlot

Dependencies:abindapeglmaskpassbbmlebdsmatrixBHBiobaseBiocGenericsBiocParallelclicodacodetoolscolorspacecpp11crayoncurlDelayedArrayDESeq2edgeRemdbookfansifarverformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegtablehttrIRangesisobandjsonlitelabelinglambda.rlatticelifecyclelimmalocfitmagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmimemunsellmvtnormnlmenumDerivopensslpillarpkgconfigplyrR6RColorBrewerRcppRcppArmadilloRcppEigenRcppNumericalrlangS4ArraysS4VectorsscalessnowSparseArraystatmodSummarizedExperimentsystibbleUCSC.utilsutf8vctrsviridisLitewithrXVectorzlibbioc

ERSSA Package Introduction

Rendered fromERSSA.Rmdusingknitr::rmarkdownon Nov 29 2024.

Last update: 2020-01-22
Started: 2018-04-11