Image 2_Construction of a circadian rhythm-related gene signature for predicting the prognosis and immune infiltration of breast cancer.tif

Image 2_Construction of a circadian rhythm-related gene signature for predicting the prognosis and immune infiltration of breast cancer.tif

Objectives<p>In this study, we constructed a model based on circadian rhythm associated genes (CRRGs) to predict prognosis and immune infiltration in patients with breast cancer (BC).</p>Materials and methods<p>By using TCGA and CGDB databases, we conducted a comprehensive analysis...

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Bibliographic Details
Main Author: Lin Ni (5337725) (author)
Other Authors: He Li (176971) (author), Yanqi Cui (12356968) (author), Wanqiu Xiong (20681657) (author), Shuming Chen (1590061) (author), Hancong Huang (20681660) (author), Zhiwei Wang (120259) (author), Hu Zhao (425380) (author), Bing Wang (126120) (author)
Published: 2025
Subjects:
Molecular Biology
breast cancer
circadian rhythm
machine learning
a risk model
predict prognosis
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