A population-based study of precision health assessments using multi-omics network-derived biological functional modules

Recent technological advances in multi-omics and bioinformatics provide an opportunity to develop precision health assessments, which require big data and relevant bioinformatic methods. Here we collect multi-omics data from 4,277 individuals. We calculate the correlations between pairwise features...

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Vydáno v:	Cell reports. Medicine Ročník 3; číslo 12; s. 100847
Hlavní autoři:	Zhang, Wei, Wan, Ziyun, Li, Xiaoyu, Li, Rui, Luo, Lihua, Song, Zijun, Miao, Yu, Li, Zhiming, Wang, Shiyu, Shan, Ying, Li, Yan, Chen, Bangwei, Zhen, Hefu, Sun, Yuzhe, Fang, Mingyan, Ding, Jiahong, Yan, Yizhen, Zong, Yang, Wang, Zhen, Zhang, Wenwei, Yang, Huanming, Yang, Shuang, Wang, Jian, Jin, Xin, Wang, Ru, Chen, Peijie, Min, Junxia, Zeng, Yi, Li, Tao, Xu, Xun, Nie, Chao
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Elsevier Inc 20.12.2022 Elsevier
Témata:	Advanced Basic Science BFM-ash method biological functional modules correlations Cross-Sectional Studies deitary intervention assessment Female Humans multi-omics Multiomics personal health assessment Precision Medicine - methods deitary intervention assessment multi-omics BFM-ash method biological functional modules correlations personal health assessment
ISSN:	2666-3791, 2666-3791
On-line přístup:	Získat plný text
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