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Published March 21, 2024 | Version v2
Dataset Open

MOTL: enhancing multi-omics matrix factorization with transfer learning

Description

The Lrn_5000D_Fctrzn_100k_001TH.zip 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 Model.hdf5 file, and intercepts for the factorization are in the EstimatedIntercepts.rds file.  The FctrMeta.json file contains metadata related to the MOFA factorization. The nohup.out file is the log of the factorization.

The expdat_meta.rds 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

Files

Lrn_5000D_Fctrzn_100K_001TH.zip

Files (1.2 GB)

Name Size Download all
md5:16b318667aaaff590e634d170cc5bfaa
969.3 kB Download
md5:9a446f6908f05bd07c58daade0083606
1.2 GB Preview Download