| bestDeconvolution | Find cell-type gene signatures and do deconvolution |
| bigstatsenet | Elastic-net for compressed sensing using bigstatsr |
| calculateError | Find errors in estimated proportion matrix and signature |
| csDeCompress | TOAST-NMF deconvolution |
| estimateUnmix | Run unmix from DESeq2 |
| expandTarget | Expand targetted panel to larger feature space |
| findInformSet | Select the compartment specific genes |
| findNumberCells | Select the number of cell types using SVD methods |
| hello | Hello, World! |
| iterateSigs | Use NMF repeatedly with TOAST framework to find cell-type... |
| kaiser | Kaiser method to determine number of important SVs |
| l1Magic | Non-linear for compressed sensing |
| l2Magic | Elastic-net for compressed sensing |
| lar | Least angle regression for compressed sensing |
| linCor | Use mutual linearity to find cell-type gene signatures and do... |
| mseError | Select the number of cell types using SVD methods |
| nmfOut | NMF function for TOAST |
| trainCS | Wrapper to train compression matrix |
| trainCS_gene | Wrapper to train compression matrix |
| TVMagic | Elastic-net for compressed sensing |
| vardecomp | Select CTS genes with variance proporties |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.