- Home
- Bioconductor 3.0
- Software Packages
- Heatplus
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("Heatplus")
In most cases, you don't need to download the package archive at all.
Heatplus
Heatmaps with row and/or column covariates and colored clusters
Bioconductor version: 3.0
Display a rectangular heatmap (intensity plot) of a data matrix. By default, both samples (columns) and features (row) of the matrix are sorted according to a hierarchical clustering, and the corresponding dendrogram is plotted. Optionally, panels with additional information about samples and features can be added to the plot.
Author: Alexander Ploner <Alexander.Ploner at ki.se>
Maintainer: Alexander Ploner <Alexander.Ploner at ki.se>
Citation (from within R,
enter citation("Heatplus")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("Heatplus")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Heatplus")
| R Script | Annotated and regular heatmaps | |
| R Script | Commented package source | |
| R Script | Old functions (deprecated) | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Microarray, Software, Visualization |
| Version | 2.12.0 |
| In Bioconductor since | BioC 1.8 (R-2.3) |
| License | GPL (>= 2) |
| Depends | |
| Imports | graphics, grDevices, stats |
| LinkingTo | |
| Suggests | Biobase, hgu95av2.db, limma |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | GeneAnswers, phenoTest, tRanslatome |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | Heatplus_2.12.0.tar.gz |
| Windows Binary | Heatplus_2.12.0.zip |
| Mac OS X 10.6 (Snow Leopard) | Heatplus_2.12.0.tgz |
| Mac OS X 10.9 (Mavericks) | Heatplus_2.12.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
- RNA-Seq workflow: gene-level exploratory analysis and differential expression
- Changing genomic coordinate systems with rtracklayer::liftOver
- Mass spectrometry and proteomics data analysis
Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!
Contact us: support.bioconductor.org
Hosting provided by Fred Hutchinson Cancer Research Center
Copyright © 2003 - 2015, Bioconductor
