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期刊名:Phenomics

缩写:PHENOMICS

ISSN:2730-583X

e-ISSN:2730-5848

IF/分区:5.5/Q1

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共收录本刊相关文章索引238
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
EATRIS-Plus Multi-omics working group and Stakeholders EATRIS-Plus Multi-omics working group and Stakeholders
Molecular characterization of a biological sample, e.g., with omics approaches, is fundamental for the development and implementation of personalized and precision medicine approaches. In this context, quality assessment is one of the most ...
Xiaoyu Zhou,Zixuan Xing,Ruijun Dong et al. Xiaoyu Zhou et al.
Hepatocellular carcinoma (HCC) is one of the most common cancers worldwide, and immune checkpoint inhibitor (ICI)-based therapies are now an integral part of systemic treatment. In this study, we identify potential biomarker for HCC and fur...
Ziqin Zhang,Cui Wu,Linlin Bai et al. Ziqin Zhang et al.
Pathogens pose significant threats to biosecurity and environmental health due to their potential for widespread outbreaks. Effective pathogen detection requires methods that are rapid, sensitive, specific, and informative. Here, we propose...
Ligang Zhou,Fang Xiao,Ning Shen et al. Ligang Zhou et al.
Multi-modal signal measurement is widely used in health monitoring and disease recognition, such as electroencephalography (EEG)-functional magnetic resonance imaging (fMRI), EEG-functional near-infrared spectroscopy (fNIRS), EEG-electrocar...
Xue Li,Ling Lu,Liang Sun et al. Xue Li et al.
Mobile health technologies provided innovative solutions for lifestyle interventions and offered reliable methods to evaluate behavioral phenotypes during such interventions. To systematically quantify the impacts of behavioral compliance o...
Lu Wang,Lequn Wang,Luonan Chen Lu Wang
Metagenomics and metabolomics technologies have been widely used to investigate the microbe-metabolite interactions in vivo. However, the computational methods that accurately infer the microbe-metabolite interactions are lacking. We presen...