R package for supervised dimensional reduction by guided partial least squares
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git clone https://github.com/rikenbit/guidedPLS/
R CMD INSTALL guidedPLS
or type the code below in the R console window
library(devtools)
devtools::install_github("rikenbit/guidedPLS")
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- Sparse Partial Least Squares (sPLS)/Sparse Partial Least Squares Discriminant Analysis (sPLS-DA)
- Lê Cao, et al. A Sparse PLS for Variable Selection when Integrating Omics Data. Statistical Applications in Genetics and Molecular Biology, 7(1), 2008
- Guided Principal Component Analysis (guided-PCA)
- Reese S E, et al. A new statistic for identifying batch effects in high-throughput genomic data that uses guided principal component analysis. Bioinformatics, 29(22), 2877-2883, 2013
- Multiset Canonical Correlations Analysis
- Nielsen A A. Multiset Canonical Correlations Analysis and Multispectral, Truly Multitemporal Remote Sensing Data. IEEE Transactions on Image Processing, 11(3), 293-305, 2002
If you have suggestions for how guidedPLS could be improved, or want to report a bug, open an issue! We'd love all and any contributions.
For more, check out the Contributing Guide.
- Koki Tsuyuzaki