对 "基于机器学习的可解释脑脊液蛋白质组学预测年龄时钟揭示了大脑衰老的新见解 "的更正。

IF 7.8 1区医学 Q1 Biochemistry, Genetics and Molecular Biology

Aging Cell Pub Date : 2024-10-08 DOI:10.1111/acel.14363

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引用次数: 0

摘要

Melendez，J.、Sung，Y.J.、Orr，M.、Yoo，A.、Schindler，S.、Cruchaga，C.、Bateman，R. Aging Cell，2024。https://doi.org/10.1111/acel.14230In，在Melendez等人（2024年）的发表版本中，显示了错误的表1。正确的表格如下。我们对此错误深表歉意。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Correction to “An interpretable machine learning-based cerebrospinal fluid proteomics clock for predicting age reveals novel insights into brain aging”

Melendez, J., Sung, Y.J., Orr, M., Yoo, A., Schindler, S., Cruchaga, C., Bateman, R. Aging Cell, 2024. https://doi.org/10.1111/acel.14230

In the published version of Melendez et al. (2024), an incorrect version of Table 1 was shown.

The correct table is shown below.

We apologize for this error.

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来源期刊

Aging Cell 生物-老年医学

CiteScore

14.40

自引率

2.60%

发文量

212

审稿时长

8 weeks

期刊介绍： Aging Cell, an Open Access journal, delves into fundamental aspects of aging biology. It comprehensively explores geroscience, emphasizing research on the mechanisms underlying the aging process and the connections between aging and age-related diseases.