作者更正：英国生物银行骨髓肥胖的深度学习和全基因组关联meta分析

IF 15.7 1区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Nature Communications Pub Date : 2025-05-09 DOI:10.1038/s41467-025-59574-9

Wei Xu, Ines Mesa-Eguiagaray, David M. Morris, Chengjia Wang, Calum D. Gray, Samuel Sjöström, Giorgos Papanastasiou, Sammy Badr, Julien Paccou, Xue Li, Paul R. H. J. Timmers, Maria Timofeeva, Susan M. Farrington, Malcolm G. Dunlop, Scott I. Semple, Tom MacGillivray, Evropi Theodoratou, William P. Cawthorn

引用次数: 0

摘要

更正：Nature Communications https://doi.org/10.1038/s41467-024-55422-4，于2025年1月2日在线发布

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Author Correction: Deep learning and genome-wide association meta-analyses of bone marrow adiposity in the UK Biobank

Correction to: Nature Communications https://doi.org/10.1038/s41467-024-55422-4, published online 2 January 2025

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来源期刊

Nature Communications Biological Science Disciplines-

CiteScore

24.90

自引率

2.40%

发文量

6928

审稿时长

3.7 months

期刊介绍： Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.