化学计量学
代谢组学
组学
支柱
计算生物学
核磁共振波谱
质谱法
多元统计
化学
计算机科学
生物
生物信息学
色谱法
工程类
机器学习
结构工程
有机化学
作者
John C. Lindon,Jeremy K. Nicholson
标识
DOI:10.1016/j.trac.2007.08.009
摘要
Metabonomics can now be regarded as a central pillar in top-down systems biology. We summarize methods for generating and interpreting metabolic profiles based on nuclear magnetic resonance (NMR) spectroscopy, mass spectrometry (MS) and multivariate chemometrics. We describe recent developments for information recovery from complex data sets, including integration of NMR and MS results and trans-omics correlations.
科研通智能强力驱动
Strongly Powered by AbleSci AI