ToPP

ToPP integrates multi-omics and clinical data from 68 diverse cancer projects to identify prognostic features and select patient subgroups for cancer outcome prediction.

Key Features:

• Multi-Omics Integration: Integrates eight distinct multi-omics features (genomic, transcriptomic, proteomic, etc.) with clinical data across 68 diverse cancer projects.
• Customized Prognostic Studies: Supports tailored prognostic analyses including combined multi-omics and clinical analyses, automatic construction of prognostic models, and pancancer cross-cancer comparisons.
• Feature Combination Impact Exploration: Evaluates how different combinations and levels of multi-omics features influence patient prognosis.
• Regulatory Network Analysis: Incorporates regulatory network information into prognostic analyses to link molecular interactions with outcomes.
• Subtyping and Patient-Group Selection: Enables molecular subtyping and selection of patient subgroups for downstream prognostic modeling.

Scientific Applications:

• Precision Medicine: Provides molecular evidence to support target identification and drug discovery across cancer types.
• Personalized Treatment Stratification: Supports development of personalized treatment strategies based on individual molecular profiles.
• Biomarker Discovery and Response Prediction: Identifies prognostic biomarkers, characterizes tumor heterogeneity, and predicts therapeutic responses.

Methodology:

Integrates multi-omics data (genomic, transcriptomic, proteomic, etc.) with clinical parameters to construct prognostic models, including automatic model construction, using advanced statistical and computational techniques.