MOTL: enhancing multi-omics matrix factorization with transfer learning
收藏NIAID Data Ecosystem2026-05-01 收录
下载链接：
https://zenodo.org/record/10847986
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资源简介：
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
创建时间：
2024-03-21
