mAPKL-package: A hybrid feature selection method for gene expression data
In asakellariou/git-git.bioconductor.org-packages-mAPKL: A Hybrid Feature Selection method for gene expression data
Description
Details
Author(s)
References
Description
A hybrid FS method (mAP-KL), which combines multiple hypothesis testing and
affinity propagation (AP) clustering algorithm along with the Krzanowski &
Lai cluster quality index, to select an informative subset of genes.
Details
Package: mAPKL
Type: Package
Version: 0.99.01
Date: 2014-05-07
License: GPL (>= 2)
Author(s)
Argiris Sakellariou
Argiris Sakellariou <a.sakellariou@gonkhosp.gr>
References
A. Sakellariou, D. Sanoudou, and G. Spyrou, "Combining multiple hypothesis
testing and affinity propagation clustering leads to accurate, robust and
sample size independent classification on gene expression data,
" BMC Bioinformatics, vol. 13, p. 270, 2012.
asakellariou/git-git.bioconductor.org-packages-mAPKL documentation built on June 5, 2019, 8:49 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Details Author(s) References
Description
A hybrid FS method (mAP-KL), which combines multiple hypothesis testing and affinity propagation (AP) clustering algorithm along with the Krzanowski & Lai cluster quality index, to select an informative subset of genes.
Details
| Package: | mAPKL |
| Type: | Package |
| Version: | 0.99.01 |
| Date: | 2014-05-07 |
| License: | GPL (>= 2) |
Author(s)
Argiris Sakellariou Argiris Sakellariou <a.sakellariou@gonkhosp.gr>
References
A. Sakellariou, D. Sanoudou, and G. Spyrou, "Combining multiple hypothesis testing and affinity propagation clustering leads to accurate, robust and sample size independent classification on gene expression data, " BMC Bioinformatics, vol. 13, p. 270, 2012.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.