compute_RNA-seq reporting platform
Dnr:
NAISS 2024/22-529
Type:
NAISS Small Compute
Principal Investigator:
Mengzhen Li
Affiliation:
Kungliga Tekniska högskolan
Start Date:
2024-06-12
End Date:
2025-05-01
Primary Classification:
10203: Bioinformatics (Computational Biology) (applications to be 10610)
Webpage:
Allocation
Abstract
This project is focused on developing a transcriptomic platform to anticipate the risk of various diseases. By integrating RNA-seq data from diverse diseases and applying machine learning techniques, the project aims to identify gene signatures that can effectively predict disease risks.