Routines for PLS-based genomic analyses, implementing PLS methods for classification with microarray data and prediction of transcription factor activities from combined ChIP-chip analysis. The >=1.2-1 versions include two new classification methods for microarray data: GSIM and Ridge PLS. The >=1.3 versions includes a new classification method combining variable selection and compression in logistic regression context: RIRLS-SPLS; and an adaptive version of the sparse PLS.
|Author||Anne-Laure Boulesteix <firstname.lastname@example.org>, Ghislain Durif <email@example.com>, Sophie Lambert-Lacroix <Sophie.Lambert@imag.fr>, Julie Peyre <Julie.Peyre@imag.fr>, and Korbinian Strimmer <firstname.lastname@example.org>.|
|Date of publication||2015-05-11 14:57:01|
|Maintainer||Ghislain Durif <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on R-Forge|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.