HEM
Heterogeneous error model for identification of differentially expressed genes under multiple conditions
Bioconductor version: 2.9
This package fits heterogeneous error models for analysis of microarray data
Author: HyungJun Cho <hcho at virginia.edu> and Jae K. Lee <jaeklee at virginia.edu>
Maintainer: HyungJun Cho <hcho at virginia.edu>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("HEM")
To cite this package in a publication, start R and enter:
citation("HEM")
Documentation
| R Script | HEM Overview | |
| Reference Manual |
Details
| biocViews | Microarray, DifferentialExpression, Bioinformatics |
| Depends | R (>= 2.1.0) |
| Imports | Biobase, grDevices, stats, utils |
| Suggests | |
| System Requirements | |
| License | GPL (>= 2) |
| URL | http://www.healthsystem.virginia.edu/internet/hes/biostat/bioinformatics/ |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.26.0 |
| Since | Bioconductor 1.7 (R-2.2) |
Package Downloads
| Package Source | HEM_1.26.0.tar.gz |
| Windows Binary | HEM_1.26.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | HEM_1.26.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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