survtype

survtype identifies patient subtypes from genomic data that are both clinically relevant and biologically meaningful by incorporating survival information.

Key Features:

• Subtype Identification: Discovers groups of samples with distinct molecular and clinical features from genomic data.
• Survival Integration: Associates molecular subtypes with clinical survival data to ensure clinical relevance.
• Biological Relevance: Prioritizes subtypes that are meaningful at both the molecular and clinical levels.

Scientific Applications:

• Patient Stratification: Identifies clinically relevant subtypes of patients based on genomic and survival data.
• Precision Oncology: Supports discovery of molecular subtypes with distinct prognostic outcomes for cancer research.

Methodology:

The package analyzes genomic data in conjunction with clinical survival information to identify subtypes.