LMGene
LMGene Software for Data Transformation and Identification of Differentially Expressed Genes in Gene Expression Arrays
Bioconductor version: 2.6
LMGene package for analysis of microarray data using a linear model and glog data transformation
Author: David Rocke, Geun Cheol Lee, John Tillinghast, Blythe Durbin-Johnson, and Shiquan Wu
Maintainer: Blythe Durbin-Johnson <bpdurbin at ucdavis.edu>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("LMGene")
To cite this package in a publication, start R and enter:
citation("LMGene")
Documentation
| R Script | LMGene User's Guide | |
| Reference Manual |
Details
| biocViews | Microarray, Bioinformatics, DifferentialExpression, Preprocessing |
| Depends | R (>= 2.10.0), Biobase(>= 2.5.5), multtest, survival, affy |
| Imports | |
| Suggests | affydata |
| System Requirements | |
| License | LGPL |
| URL | http://dmrocke.ucdavis.edu/software.html |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 2.4.0 |
| Since | Bioconductor 1.8 (R-2.3) |
Package Downloads
| Package Source | LMGene_2.4.0.tar.gz |
| Windows Binary | LMGene_2.4.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | LMGene_2.4.0.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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