- Notifications
You must be signed in to change notification settings - Fork1
Code to reproduce Adaptive elastic-net sparse PCA for robust cross-species, cross-platform analysis of complex gene expression data in Alzheimer’s disease (Hin et al.)
NotificationsYou must be signed in to change notification settings
nhihin/aespca
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
Comparison of brain transcriptomes from 5XFAD mice, fAD-like zebrafish, and human early-onset as well as late-onset sporadic Alzheimer's disease
Workflow in R using AESPCA to explore and compare brain transcriptomes across various species in Alzheimer's disease contexts.
For more details, please seeChapter 5: Adaptive elastic-net sparse PCA for robust cross-species, cross-platform analysis of complex gene expression data in Alzheimer’s disease in my thesis (https://digital.library.adelaide.edu.au/dspace/handle/2440/129610, p.165 onwards).