Prediction of overall survival in stage II and III colon cancer through machine learning of rapidly-acquired proteomics.

IF 13 1区生物学 Q1 CELL BIOLOGY

Cell Discovery Pub Date : 2024-08-13 DOI:10.1038/s41421-024-00707-7

Kailun Xu, Xiaoyang Yin, Hui Chen, Yuhui Huang, Xi Zheng, Biting Zhou, Xue Cai, Huanhuan Gao, Miaomiao Tian, Sijun Hu, Shu Zheng, Changzheng Yuan, Yongzhan Nie, Tiannan Guo, Yingkuan Shao

引用次数: 0

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通过对快速获得的蛋白质组学进行机器学习，预测 II 期和 III 期结肠癌患者的总生存期。

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来源期刊

Cell Discovery Biochemistry, Genetics and Molecular Biology-Molecular Biology

CiteScore

24.20

自引率

0.60%

发文量

120

审稿时长

20 weeks

期刊介绍： Cell Discovery is a cutting-edge, open access journal published by Springer Nature in collaboration with the Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences (CAS). Our aim is to provide a dynamic and accessible platform for scientists to showcase their exceptional original research. Cell Discovery covers a wide range of topics within the fields of molecular and cell biology. We eagerly publish results of great significance and that are of broad interest to the scientific community. With an international authorship and a focus on basic life sciences, our journal is a valued member of Springer Nature's prestigious Molecular Cell Biology journals. In summary, Cell Discovery offers a fresh approach to scholarly publishing, enabling scientists from around the world to share their exceptional findings in molecular and cell biology.