{"title":"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。","authors":"","doi":"10.1111/acel.14363","DOIUrl":null,"url":null,"abstract":"<p>Melendez, J., Sung, Y.J., Orr, M., Yoo, A., Schindler, S., Cruchaga, C., Bateman, R. <i>Aging Cell</i>, 2024. https://doi.org/10.1111/acel.14230</p><p>In the published version of Melendez et al. (2024), an incorrect version of Table 1 was shown.</p><p>The correct table is shown below.\n </p><p>We apologize for this error.</p>","PeriodicalId":55543,"journal":{"name":"Aging Cell","volume":"23 11","pages":""},"PeriodicalIF":7.8000,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11561702/pdf/","citationCount":"0","resultStr":"{\"title\":\"Correction to “An interpretable machine learning-based cerebrospinal fluid proteomics clock for predicting age reveals novel insights into brain aging”\",\"authors\":\"\",\"doi\":\"10.1111/acel.14363\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Melendez, J., Sung, Y.J., Orr, M., Yoo, A., Schindler, S., Cruchaga, C., Bateman, R. <i>Aging Cell</i>, 2024. https://doi.org/10.1111/acel.14230</p><p>In the published version of Melendez et al. (2024), an incorrect version of Table 1 was shown.</p><p>The correct table is shown below.\\n </p><p>We apologize for this error.</p>\",\"PeriodicalId\":55543,\"journal\":{\"name\":\"Aging Cell\",\"volume\":\"23 11\",\"pages\":\"\"},\"PeriodicalIF\":7.8000,\"publicationDate\":\"2024-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11561702/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aging Cell\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/acel.14363\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Biochemistry, Genetics and Molecular Biology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aging Cell","FirstCategoryId":"99","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/acel.14363","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
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.
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.
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