SUPR
Integrative data analysis
Dnr:

NAISS 2024/22-279

Type:

NAISS Small Compute

Principal Investigator:

Felix Held

Affiliation:

Göteborgs universitet

Start Date:

2024-03-01

End Date:

2025-03-01

Primary Classification:

10106: Probability Theory and Statistics

Webpage:

Allocation

Abstract

With the rise in computational resources, integrative data analysis of multiple related data sources has become increasingly viable. However, traditional analysis methods developed for a single data source do not always readily generalize to the setting of multiple data sources. It is therefore crucial to understand how data analysis methods can be extended to this new setting.