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'))

Peer review:

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 3 months agofrom:9bbfe28571. Checks:1 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 24 2025
R-4.5-winNOTEJan 24 2025
R-4.5-linuxNOTEJan 24 2025
R-4.4-winNOTEJan 24 2025
R-4.4-macNOTEJan 24 2025
R-4.3-winNOTEJan 24 2025
R-4.3-macNOTEJan 24 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 Jan 24 2025.

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