SUPR
RNA-seq reporting platform
Dnr:

NAISS 2024/23-239

Type:

NAISS Small Storage

Principal Investigator:

Mengzhen Li

Affiliation:

Kungliga Tekniska högskolan

Start Date:

2024-04-26

End Date:

2025-05-01

Primary Classification:

10610: Bioinformatics and Systems Biology (methods development to be 10203)

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.