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...

Full description

Saved in:

Bibliographic Details
Published in:	Cell reports. Medicine Vol. 3; no. 12; p. 100847
Main Authors:	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
Format:	Journal Article
Language:	English
Published:	United States Elsevier Inc 20.12.2022 Elsevier
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!