Single-cell gene set scoring with nearest neighbor graph smoothed data (gssnng).

ABSTRACT:

Summary

Gene set scoring (or enrichment) is a common dimension reduction task in bioinformatics that can be focused on the differences between groups or at the single sample level. Gene sets can represent biological functions, molecular pathways, cell identities, and more. Gene set scores are context dependent values that are useful for interpreting biological changes following experiments or perturbations. Single sample scoring produces a set of scores, one for each member of a group, which can be analyzed with statistical models that can include additional clinically important factors such as gender or age. However, the sparsity and technical noise of single-cell expression measures create difficulties for these methods, which were originally designed for bulk expression profilin

SUBMITTER: Gibbs DL 

PROVIDER: S-EPMC10599965 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature