TMEImmune：用于获得预后肿瘤微环境评分的Python包

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2025-05-01 DOI:10.1016/j.softx.2025.102169

Q. Zhou, L. Shahriyari

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引用次数: 0

摘要

近年来，免疫检查点抑制剂（ICI）疗法已成为癌症治疗的有力工具。然而，由于其反应率有限，迫切需要计算方法来准确预测患者的反应。因此，我们开发了Python包TMEImmune，它集成了四种广泛用于ICI治疗的预后评分方法。该软件包允许用户轻松地比较这些方法在不同癌症类型中的性能，帮助确定每种癌症的最具预测性的方法。

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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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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.