sTAM

sTAM performs single-sample microRNA (miRNA) set enrichment analysis to compute miRNA-set level scores for individual samples for discovery of miRNA-set level disease biomarkers.

Key Features:

• Single-sample enrichment: Performs single-sample microRNA (miRNA) set enrichment analysis to assess enrichment within individual samples.
• miRNA-set scoring: Computes miRNA-set level scores per sample to enable set-level biomarker analysis.
• miRNA omics data integration: Leverages miRNA omics data to evaluate collective miRNA activity at the set level.
• Cancer discrimination: Distinguished cancer types from controls using "tumor suppressor miRNA set" scores in analyses of TCGA across 15 cancer types and GEO for 14 additional cancers.
• Cerebrovascular disorder prediction: Predicted cerebrovascular disorders by analyzing the "brain development" miRNA set scores.

Scientific Applications:

• miRNA-set biomarker discovery: Identification of miRNA-set level disease biomarkers through per-sample enrichment scoring.
• Cancer biomarker analysis: Differentiation of cancer versus control samples across TCGA and GEO datasets using tumor suppressor miRNA set scores.
• Cerebrovascular disease prediction: Use of brain development miRNA set scores to predict cerebrovascular disorders.

Methodology:

Applies single-sample microRNA (miRNA) set enrichment analysis to compute per-sample miRNA-set enrichment scores.