DoSurvive

DoSurvive performs survival analysis of cancer prognostic biomarkers, enabling multivariant survival analyses across 33 cancer types using mRNA, miRNA, lncRNA, protein, and methylation of CpG islands.

Key Features:

• Survival analysis methods: Implements Log Rank Test, Cox regression, and Accelerated Failure Time (AFT) model for comparing survival distributions, assessing covariate effects under proportional hazards, and modeling when proportional hazards is violated.
• Quantitative data types: Supports analysis of mRNA, miRNA, lncRNA, protein, and methylation of CpG islands as quantitative features.
• Survival outcome types: Accommodates overall survival, disease-specific survival, disease-free interval, and progression-free interval.
• Cancer coverage: Includes data for 33 different cancer types.
• Custom lists and multivariant analysis: Performs multivariant survival analyses using customized gene lists or patient lists.

Scientific Applications:

• Prognostic biomarker assessment: Evaluates the prognostic significance of single or combined biomarkers across various cancers using survival models.
• Identification of clinically relevant targets: Facilitates identification of clinically relevant prognostic targets through multivariant survival modeling.

Methodology:

Statistical methods explicitly implemented are the Log Rank Test, Cox regression (proportional hazards), and Accelerated Failure Time (AFT) model, applied in multivariant survival analyses.