A correlation network approach to metabolic data analysis for tomato fruits
A correlation network approach to metabolic data analysis for tomato fruits
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DOI：
10.1007/s10681-008-9672-y
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发表时间：
2008-05-01
期刊：
影响因子：
1.9
通讯作者：
van Eeuwijk, Fred
中科院分区：
文献类型：
--
作者：
Ursem, Remco;Tikunov, Yury;van Eeuwijk, Fred
番茄基因型间代谢产物丰度相关性的网络分析有助于揭示番茄感官变异的生物学基础。我们说明了如何构建和解释简单的相关性网络使用不同的番茄基因型收集的代谢数据。计算各种类型的相关性并以网络的形式显示。网络分析的基础上的解释进行了比较，解释后的主成分分析。
Network analysis of correlations between abundances of metabolites across tomato genotypes can help in unraveling the biological basis of organoleptic variation in tomato. We illustrate how to construct and interpret simple correlations networks using metabolic data collected on a diverse set of tomato genotypes. Various types of correlations are calculated and displayed in the form of networks. Interpretations on the basis of network analyses are compared to interpretations following principal components analysis.