Model construction and validation (A) Construction of the model based on multiple machine learning algorithms.

<p>(B) C-index of the StepCox[forward] model across different datasets. (C) AUC values of the StepCox[forward] model for 1-year, 2-year, and 3-year outcomes in different datasets. (D-F) ROC curves for 1-year, 2-year, and 3-year outcomes in various datasets.</p>

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Bibliographic Details
Main Author:	Chengting Wu (21485612) (author)
Other Authors:	Xinyuan Chen (360183) (author), Yu Zhang (12946) (author), Yuanqin Du (21485615) (author), Jian Xu (31545) (author), Yujiao Peng (4725813) (author), Lu Lu (392) (author), Jingjing Huang (170112) (author), Hongna Huang (21485618) (author)
Published:	2025
Subjects:	Genetics Biotechnology Immunology Cancer Biological Sciences not elsewhere classified providing valuable insights pathways mostly associated found sensitive chemotherapeutic cancer genome atlas somatic mutation analysis different analysis packages would work well novel prognostic biomarker differentially expressed genes immune checkpoint inhibitors molecular function analysis related gene models immune therapy response r version 4 nfrgs could serve drug sensitivity analysis related gene signature risk group showed immunotherapy response analysis related signature related genes poorer response gene mutations prognosis analysis work attempts treatment sensitivity risk group molecular functions drug prediction immune responses immune checkpoints immune characteristics novel ferroptosis unique type treatment prediction tightly linked tide scores targeted medications significant upregulation risk groups results indicate nfrgs ). malignant tumor less responsive immunotherapy outcomes immunotherapy evaluation immunological traits icis ). gse14520 datasets ezh2 ).
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Model construction and validation (A) Construction of the model based on multiple machine learning algorithms.

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