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Correction: Self-Organising Maps and Correlation Analysis as a Tool to Explore Patterns in Excitation-Emission Matrix Data Sets and to Discriminate Dissolved Organic Matter Fluorescence Components.

作者信息

Ejarque-Gonzalez Elisabet, Butturini Andrea

出版信息

PLoS One. 2015 Jun 22;10(6):e0131382. doi: 10.1371/journal.pone.0131382. eCollection 2015.

DOI:10.1371/journal.pone.0131382
PMID:26098569
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4476810/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8b2/4476810/9549f2835be5/pone.0131382.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8b2/4476810/9549f2835be5/pone.0131382.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8b2/4476810/9549f2835be5/pone.0131382.g001.jpg

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本文引用的文献

1
Self-organising maps and correlation analysis as a tool to explore patterns in excitation-emission matrix data sets and to discriminate dissolved organic matter fluorescence components.自组织映射和相关分析作为一种工具,用于探索激发-发射矩阵数据集的模式并区分溶解有机物荧光成分。
PLoS One. 2014 Jun 6;9(6):e99618. doi: 10.1371/journal.pone.0099618. eCollection 2014.