首页 文献索引 SCI期刊 AI助手
期刊目录筛选

期刊名:Phenomics

缩写:PHENOMICS

ISSN:2730-583X

e-ISSN:2730-5848

IF/分区:5.5/Q1

文章目录 更多期刊信息

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
Rui Lin,Saihua Zheng,Haiyu Su et al. Rui Lin et al.
Polycystic ovarian syndrome (PCOS) is the most common reproductive metabolic disorder in women of reproductive age. However, the underlying mechanism is unclear, because the main symptoms vary with age and the pathogenesis is complex and mu...
Chengyan Wang,Shuo Wang,Sha Hua et al. Chengyan Wang et al.
Currently, standard protocols for body imaging and corresponding image processing pipelines in population-based cohort studies are unavailable, limiting the applications of body imaging. Based on the China Phenobank Project (CHPP), the pres...
Hui-Ying Ren,Ying Lv,Bei-Ning Ma et al. Hui-Ying Ren et al.
The TRacing Etiology of Non-communicable Diseases (TREND) cohort is a prospective longitudinal cohort and biobank that is mainly based in Ma'anshan, Anhui Province, China. The primary aim of the study is to decipher comprehensive molecular ...
Luyao Ren,Leming Shi,Yuanting Zheng Luyao Ren
High-throughput technologies for multiomics or molecular phenomics profiling have been extensively adopted in biomedical research and clinical applications, offering a more comprehensive understanding of biological processes and diseases. O...
Xueying Gao,Yuteng Wang,Yikun Wang et al. Xueying Gao et al.
Recently, there has been a debate regarding the association between polycystic ovary syndrome (PCOS) and pancreatic cancer (PC). In order to examine the causal relationship between PCOS and PC, we conducted a Mendelian randomization study, ...
Cheng Liu,Bingxiang Xu,Kang Wan et al. Cheng Liu et al.
The field of competitive swimming lacks broadly applicable predictive models for talent identification across various age groups of adolescent swimmers. This study aimed to construct a predictive model for athletic talent using machine lear...