Generation of synthetic transcriptomics data
Dnr:
NAISS 2025/22-799
Type:
NAISS Small Compute
Principal Investigator:
Petre Mihail Anton
Affiliation:
Chalmers tekniska högskola
Start Date:
2025-05-23
End Date:
2026-02-01
Primary Classification:
10610: Bioinformatics and Computational Biology (Methods development to be 10203)
Webpage:
Allocation
Abstract
We are exploring the use of foundational models, such as scFoundation (https://www.nature.com/articles/s41592-024-02305-7) to generate synthetic transcriptomics data to be used in modeling metabolism with genome-scale metabolic models, such as those developed in the Systems and Synthetic Biology division of the Life Department.