plsgenomics (1.3-1)

0 users

PLS Analyses for Genomics.

http://cran.r-project.org/web/packages/plsgenomics/index.html
http://cran.r-project.org/web/packages/plsgenomics

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.

Maintainer: Ghislain Durif
Author(s): Anne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>, Ghislain Durif <ghislain.durif@univ-lyon1.fr>, Sophie Lambert-Lacroix <Sophie.Lambert@imag.fr>, Julie Peyre <Julie.Peyre@imag.fr>, and Korbinian Strimmer <strimmer@uni-leipzig.de>.

License: GPL (>= 2)

Uses: boot, MASS
Reverse depends: MAclinical
Reverse suggests: PLSbiplot1

Released almost 2 years ago.


4 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of plsgenomics yet. Want to be the first? Write one now.


Related packages: FactoMineR, GPArotation, GenKern, Hmisc, ICSNP, ICS, JADE, KernSmooth, MCMCpack, MNP, Matrix, PTAk, PearsonICA, ROCR, SensoMineR, SparseM, SpatialNP, VGAM, YaleToolkit, abind(20 best matches, based on common tags.)


Search for plsgenomics on google, google scholar, r-help, r-devel.

Visit plsgenomics on R Graphical Manual.