WaveICA: A novel algorithm to remove batch effects for large-scale untargeted metabolomics data based on wavelet analysis-Reference-Cited by-同舟云学术

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WaveICA: A novel algorithm to remove batch effects for large-scale untargeted metabolomics data based on wavelet analysis

Published:2019-07 Issue: Volume:1061 Page:60-69
ISSN:0003-2670
Container-title:Analytica Chimica Acta
language:en
Short-container-title:Analytica Chimica Acta

Author:

Deng Kui,Zhang Fan,Tan Qilong,Huang Yue,Song Wei,Rong Zhiwei,Zhu Zheng-Jiang,Li Kang,Li Zhenzi

Funder

National Natural Science Foundation of China

Natural Science Foundation of Heilongjiang Province

Publisher

Elsevier BV

Subject

Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Reference48 articles.

1. Current state-of-the-art of nontargeted metabolomics based on liquid chromatography-mass spectrometry with special emphasis in clinical applications;Yin;J. Chromatogr. A,2014

2. Analytical methods in untargeted metabolomics: state of the art in 2015;Alonso;Front. Bioeng. Biotechnol.,2015

3. Validation of metabolomics for toxic mechanism of action screening with the earthworm Lumbricus rubellus;Guo;Metabolomics,2009

4. Metabolomics as a novel approach for early diagnosis of pediatric septic shock and its mortality;Mickiewicz;Am. J. Respir. Crit. Care Med.,2013

5. Metabolomics and molecular targeted therapy of cancer, Nihon rinsho;Tashiro;Jpn. J. Clin. Med.,2015

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