plsgenomics
PLS Analyses for Genomics
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: logit-SPLS; and an adaptive version of the sparse PLS.
- Version1.5-3
- R version≥ 3.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release03/28/2024
Documentation
Team
Ghislain Durif
Anne-Laure Boulesteix, Ghislain Durif, Sophie Lambert-Lacroix, Julie Peyre, and Korbinian Strimmer.
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- Depends1 package
- Imports7 packages
- Reverse Imports2 packages
- Reverse Suggests2 packages