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 <email@example.com>, Ghislain Durif <firstname.lastname@example.org>, Sophie Lambert-Lacroix <Sophie.Lambert@imag.fr>, Julie Peyre <Julie.Peyre@imag.fr>, and Korbinian Strimmer <email@example.com>.|
|Date of publication||2015-05-11 14:57:01|
|Maintainer||Ghislain Durif <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on R-Forge|
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