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

ABSTRACT:

Background

Blood-based transcriptional gene signatures for tuberculosis (TB) have been developed with potential use to diagnose disease. However, an unresolved issue is whether gene set enrichment analysis of the signature transcripts alone is sufficient for prediction and differentiation or whether it is necessary to use the original model created when the signature was derived. Intra-method comparison is complicated by the unavailability of original training data and missing details about the original trained model. To facilitate the utilization of these signatures in TB research, comparisons between gene set scoring methods cross-data validation of original model implementations are needed.

Methods

We compared the performance of 19 TB gene signatures across 24 transcripto

SUBMITTER: Wang X 

PROVIDER: S-EPMC11191245 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature