Skip to content

DMCB-GIST/SDGCCA

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

SDGCCA: Supervised Deep Generalized Canonical Correlation Analysis for Multi-omics Integration

SDGCCA is non-linear multi-omics integration method for dis-criminating phenotypic groups and identifying biomarker.
SDGCCA identifies the common and correlated information between multiple omics-data that is important for discriminating phenotypic groups.
SDGCCA is also based on deep neural network (DNN), allowing powerful capturing non-linear part of the biological complexity.

SDGCCA workflow

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published