Comparison of gene set scoring methods for reproducible evaluation of multiple tuberculosis gene signatures.

ABSTRACT:

Rationale

Many blood-based transcriptional gene signatures for tuberculosis (TB) have been developed with potential use to diagnose disease, predict risk of progression from infection to disease, and monitor TB treatment outcomes. However, an unresolved issue is whether gene set enrichment analysis (GSEA) of the signature transcripts alone is sufficient for prediction and differentiation, or whether it is necessary to use the original statistical model created when the signature was derived. Intra-method comparison is complicated by the unavailability of original training data, missing details about the original trained model, and inadequate publicly-available software tools or source code implementing models. To facilitate these signatures' replicability and appropriate utilizatio

SUBMITTER: Wang X 

PROVIDER: S-EPMC9882404 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature