Back to search

Article

Machine learning-based detoxification enzymes-related genes prognosis model in breast cancer: Immune landscape and Clinical significance

2025-04-21

Abstract excerpt

<title>Abstract</title> <p>Background Breast cancer is one of the most common malignant tumors, threatening women's health and life globally. Despite significant treatment advances, its prognosis still faces great challenges. With the rapid development of molecular biology and genomics, the role of detoxification enzymes in breast cancer occurrence, development, and prognosis has gained increasing attention. Thi...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
25236457-2761-5536-aa65-e5d5ceb2769a
DOI
10.21203/rs.3.rs-5710634/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Machine learning-based detoxification enzymes-related genes prognosis model in breast cancer: Immune landscape and Clinical significanceDOI 10.21203/rs.3.rs-5710634/v1
Select a neighboring publication to make it the new centre.