To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("dualKS")
In most cases, you don't need to download the package archive at all.
dualKS
Dual KS Discriminant Analysis and Classification
Bioconductor version: 3.0
This package implements a Kolmogorov Smirnov rank-sum based algorithm for training (i.e. discriminant analysis--identification of genes that discriminate between classes) and classification of gene expression data sets. One of the chief strengths of this approach is that it is amenable to the "multiclass" problem. That is, it can discriminate between more than 2 classes.
Author: Eric J. Kort, Yarong Yang
Maintainer: Eric J. Kort <ericjkort at gmail.com>, Yarong Yang <yarong.yang at ndsu.edu>
Citation (from within R,
enter citation("dualKS")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("dualKS")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("dualKS")
| R Script | dualKS.pdf | |
| Reference Manual |
Details
| biocViews | Classification, Microarray, Software |
| Version | 1.26.0 |
| In Bioconductor since | BioC 2.3 (R-2.8) |
| License | LGPL (>= 2.0) |
| Depends | R (>= 2.6.0), Biobase(>= 1.15.0), affy, methods |
| Imports | graphics |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | dualKS_1.26.0.tar.gz |
| Windows Binary | dualKS_1.26.0.zip |
| Mac OS X 10.6 (Snow Leopard) | dualKS_1.26.0.tgz |
| Mac OS X 10.9 (Mavericks) | dualKS_1.26.0.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
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