弥合差距:COVID-19 中用于跨物种 scRNA-seq 分析的神经网络方法。

IF 9.7 1区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL EBioMedicine Pub Date : 2024-10-01 Epub Date: 2024-09-04 DOI:10.1016/j.ebiom.2024.105324
Peng Luo, Zi-Wei Ye, Shuofeng Yuan
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Bridging gaps: a neural network approach for cross-species scRNA-seq analysis in COVID-19.
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来源期刊
EBioMedicine
EBioMedicine Biochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology
CiteScore
17.70
自引率
0.90%
发文量
579
审稿时长
5 weeks
期刊介绍: eBioMedicine is a comprehensive biomedical research journal that covers a wide range of studies that are relevant to human health. Our focus is on original research that explores the fundamental factors influencing human health and disease, including the discovery of new therapeutic targets and treatments, the identification of biomarkers and diagnostic tools, and the investigation and modification of disease pathways and mechanisms. We welcome studies from any biomedical discipline that contribute to our understanding of disease and aim to improve human health.
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