TMEImmune: A Python Package for deriving prognostic tumor micro-environment score
Immune checkpoint inhibitor (ICI) therapy has become a powerful tool in cancer treatment in recent years. However, due to its limited response rate, there is an urgent need for computational methods to accurately predict patient response. We therefore developed the Python package TMEImmune, which integrates four widely used prognostic scoring methods for ICI therapy. This package allows users to easily compare the performance of these methods across various cancer types, helping to identify the most predictive approach for each cancer.
Authors
- Qinglei Zhou (ORCID: https://orcid.org/0009-0004-7312-7448)
- Leili Shahriyari (ORCID: https://orcid.org/0000-0001-6234-8449)
Institutions
- University of Massachusetts Amherst (US)
Publication Details
- Journal
- SoftwareX
- Published
- 2025-04-29
- DOI
- https://doi.org/10.1016/j.softx.2025.102169
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00