PathClass

PathClass classifies breast cancer samples into molecular subtypes using pathway-based analysis of gene expression data to improve subtype prediction.

Key Features:

• Pathway-Based Classification: Utilizes molecular pathways rather than single-marker signals to assign breast cancer samples to known subtypes.
• Versatile Prediction Methods: Integrates classical gene expression panels and de novo pathway-based predictors for subtype prediction.
• Input Data Support: Processes gene expression profiling data and supports the use of datasets from the Gene Expression Omnibus (GEO).

Scientific Applications:

• Breast Cancer Molecular Subtyping: Generates pathway-informed subtype assignments from gene expression data for research on tumor heterogeneity.
• Treatment Stratification Support: Provides pathway-level characterization of subtypes that can inform selection of subtype-specific therapeutic strategies.

Methodology:

Analyzes gene expression data using classical gene expression panels and de novo pathway-based predictors to produce subtype predictions.