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.

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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
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article

TMEImmune: A Python Package for deriving prognostic tumor micro-environment score

Qinglei Zhou, Leili Shahriyari
3 links
SoftwareX
Radiomics and Machine Learning in Medical Imaging
article

TMEImmune: A Python Package for deriving prognostic tumor micro-environment score

Qinglei Zhou, Leili Shahriyari
article en

Abstract

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.

SoftwareXVol. 30
University of Massachusetts Amherst (US)
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Radiomics and Machine Learning in Medical Imaging
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