13059_2020_2021_MOESM1_ESM.pdf (10.35 MB)

Additional file 1 of Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representations

journal contribution

posted on 2020-05-12, 03:39 authored by Gregory P. Way, Michael Zietz, Vincent Rubinetti, Daniel S. Himmelstein, Casey S. Greene

All Supplementary Figures. Supplementary Figures S1-S14.

Funding

Gordon and Betty Moore Foundation National Institutes of Health National Cancer Institute Alex's Lemonade Stand Foundation for Childhood Cancer

History

Usage metrics

Categories

Keywords

Machine learning Dimensionality reduction Latent space Gene expression Autoencoders Compression Neural network interpretation

Licence

Exports

RefWorks

BibTeX

Ref. manager

Endnote

DataCite

NLM

DC