Package: dearseq 1.19.0

Boris P. Hejblum

dearseq: Differential Expression Analysis for RNA-seq data through a robust variance component test

Differential Expression Analysis RNA-seq data with variance component score test accounting for data heteroscedasticity through precision weights. Perform both gene-wise and gene set analyses, and can deal with repeated or longitudinal data. Methods are detailed in: i) Agniel D & Hejblum BP (2017) Variance component score test for time-course gene set analysis of longitudinal RNA-seq data, Biostatistics, 18(4):589-604 ; and ii) Gauthier M, Agniel D, Thiébaut R & Hejblum BP (2020) dearseq: a variance component score test for RNA-Seq differential analysis that effectively controls the false discovery rate, NAR Genomics and Bioinformatics, 2(4):lqaa093.

Authors:Denis Agniel [aut], Boris P. Hejblum [aut, cre], Marine Gauthier [aut], Mélanie Huchon [ctb]

dearseq_1.19.0.tar.gz
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dearseq.pdf |dearseq.html
dearseq/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/borishejblum/dearseq/issues

Datasets:
  • PBT_gmt - PBT gene sets related to kidney transplant
  • baduel_gmt - Small portion of RNA-seq data from plant physiology study.
  • design - Small portion of RNA-seq data from plant physiology study.
  • expr_norm_corr - Small portion of RNA-seq data from plant physiology study.

On BioConductor:dearseq-1.19.0(bioc 3.21)dearseq-1.18.0(bioc 3.20)

biomedicalinformaticscellbiologydifferentialexpressiondnaseqgeneexpressiongeneticsgenesetenrichmentimmunooncologykeggregressionrnaseqsequencingsystemsbiologytimecoursetranscriptiontranscriptomics

6.14 score 7 stars 1 packages 11 scripts 585 downloads 15 exports 50 dependencies

Last updated 2 months agofrom:2e8a88ca84. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 18 2024
R-4.5-winNOTEDec 18 2024
R-4.5-linuxNOTEDec 18 2024
R-4.4-winNOTEDec 18 2024
R-4.4-macNOTEDec 18 2024
R-4.3-winOKDec 18 2024
R-4.3-macOKDec 18 2024

Exports:dear_seqdgsa_seqpermPvalsplot_hist_pvalsplot_ord_pvalsplot_weightssp_weightsspaghettiPlot1GSvc_scorevc_score_hvc_score_h_permvc_score_permvc_test_asymvc_test_permvoom_weights

Dependencies:clicolorspaceCompQuadFormDBIdplyrfansifarvergenericsggplot2gluegtableisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvminqamitoolsmunsellnlmenumDerivpatchworkpbapplypillarpkgconfigplyrR6RColorBrewerRcppRcppArmadilloreshape2rlangscalesscattermorestatmodstringistringrsurveysurvivaltibbletidyselectutf8vctrsviridisLitewithr

User guide to the dearseq R package

Rendered fromdearseqUserguide.Rmdusingknitr::rmarkdownon Dec 18 2024.

Last update: 2022-02-01
Started: 2019-05-16