MOTL: enhancing multi-omics matrix factorization with transfer learning

<p>The <strong>Lrn_5000D_Fctrzn_100k_001TH.zip</strong> file contains the results of a MOFA factorization of the TGCA learning dataset, to be downloaded and used for transfer learning factorization of a target dataset with MOTL. The MOFA output is in the <strong>Model.hdf5</strong> file, and intercepts for the factorization are in the <strong>EstimatedIntercepts.rds</strong> file.&nbsp; The <strong>FctrMeta.json </strong>file contains metadata related to the MOFA factorization. The nohup.out file is the log of the factorization.</p> <p>The <strong>expdat_meta.rds</strong> file contains metadata from the preprocessing of the TCGA multi-omics learning dataset that was factorized. This should also to be downloaded as it is an input to MOTL</p>