SUPR
Benchmarking single-cell transcriptomics methods
Dnr:

NAISS 2024/22-1461

Type:

NAISS Small Compute

Principal Investigator:

Roy Francis

Affiliation:

Uppsala universitet

Start Date:

2024-11-08

End Date:

2025-12-01

Primary Classification:

10203: Bioinformatics (Computational Biology) (applications to be 10610)

Webpage:

Allocation

Abstract

This project is designed to evaluate the effectiveness of single-cell methodologies, including integration, cell typing, and spatial cell type deconvolution. These techniques are regularly used in research, but their performance can vary when applied to different organs and tissues or at different scales. To gain a better understanding, the project will also include a comparison of several popular tools used in this area to see how they stack up against each other.