Package: iGC 1.37.0

Liang-Bo Wang

iGC: An integrated analysis package of Gene expression and Copy number alteration

This package is intended to identify differentially expressed genes driven by Copy Number Alterations from samples with both gene expression and CNA data.

Authors:Yi-Pin Lai [aut], Liang-Bo Wang [aut, cre], Tzu-Pin Lu [aut], Eric Y. Chuang [aut]

iGC_1.37.0.tar.gz
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iGC.pdf |iGC.html✨
iGC/json (API)
NEWS

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

Bug tracker:https://github.com/ccwang002/igc/issues

Datasets:

On BioConductor:iGC-1.37.0(bioc 3.21)iGC-1.36.0(bioc 3.20)

softwarebiological questiondifferentialexpressiongenomicvariationassaydomaincopynumbervariationgeneexpressionresearchfieldgeneticstechnologymicroarraysequencingworkflowstepmultiplecomparison

3.78 score 1 stars 1 scripts 240 downloads 3 mentions 5 exports 3 dependencies

Last updated 5 months agofrom:9bbfe28571. Checks:1 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 23 2025
R-4.5-winNOTEFeb 23 2025
R-4.5-macNOTEFeb 23 2025
R-4.5-linuxNOTEFeb 23 2025
R-4.4-winNOTEFeb 23 2025
R-4.4-macNOTEFeb 23 2025
R-4.3-winNOTEFeb 23 2025
R-4.3-macNOTEFeb 23 2025

Exports:create_gene_cnacreate_gene_expcreate_sample_descdirect_gene_cnafind_cna_driven_gene

Dependencies:data.tableplyrRcpp

Introduction to iGC

iGC Developers

Rendered fromIntroduction.Rmdusingknitr::rmarkdownon Feb 23 2025.

Last update: 2018-08-30
Started: 2015-09-14