HD2013SGI
Mapping genetic interactions in human cancer cells with RNAi and multiparametric phenotyping
Bioconductor version: Release (3.19)
This package contains the experimental data and a complete executable transcript (vignette) of the analysis of the HCT116 genetic interaction matrix presented in the paper "Mapping genetic interactions in human cancer cells with RNAi and multiparametric phenotyping" by C. Laufer, B. Fischer, M. Billmann, W. Huber, M. Boutros; Nature Methods (2013) 10:427-31. doi: 10.1038/nmeth.2436.
Author: Bernd Fischer
Maintainer: Mike Smith <mike.smith at embl.de>
citation("HD2013SGI")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("HD2013SGI")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("HD2013SGI")
HD2013SGI | R Script | |
Reference Manual |
Details
biocViews | CancerData, CellCulture, ColonCancerData, ExperimentData, HighThroughputImagingData, Homo_sapiens_Data, MicrotitrePlateAssayData |
Version | 1.44.0 |
License | Artistic-2.0 |
Depends | R (>= 2.10.0), RColorBrewer, gplots, geneplotter, splots, limma, vcd, LSD, EBImage |
Imports | |
System Requirements | GNU make |
URL |
See More
Suggests | BiocStyle |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | splots |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | HD2013SGI_1.44.0.tar.gz |
Windows Binary | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/HD2013SGI |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/HD2013SGI |
Package Short Url | https://bioconductor.org/packages/HD2013SGI/ |
Package Downloads Report | Download Stats |