# Advanced package of tensor decomposition based unsupervised feature extraction

## Documentation for package ‘TDbasedUFEadv’ version 1.12.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

computeSVD | Title Perform SVD toward reduced matrix generated from a tensor with partial summation
prepareCondDrugandDisease | Prepare condition matrix for expDrug
prepareCondTCGA | Prepare Sample label for TCGA data
prepareexpDrugandDisease | Generating gene expression of drug treated cell lines and a disease cell line
prepareTensorfromList | Prepare tensor from a list that includes multiple profiles
prepareTensorfromMatrix | Generate tensor from two matrices
prepareTensorRect | Prepare tensor generated from two matrices that share samples
selectFeatureProj | Select feature when projection strategy is employed for the case where features are shared with multiple omics profiles
selectFeatureRect | Select features through the selection of singular value vectors
selectFeatureTransRect | Select features for a tensor generated from two matrices that share samples.
TensorRect-class | Class definitions
transSVD | Convert SVD to that for the case where samples are shared between two matrices