Cancer Immunology Data Engine

aims to help researchers and immune oncologists identifying new regulators of tumor immune evasions and cancer immunotherapy resistance.

Usages

• Search: Query whether a gene is associated with cancer clinical outcome, integrating a large amount of datasets.
• Prioritize: Input a gene set and prioritize top candidates for experimental follow ups.
• Evaluate: Compare the input biomarker and other published biomarkers based on their predictive power of immunotherapy clinical outcomes.