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  A method for handling metabonomics data from liquid chromatography/mass spectrometry: combinational use of support vector machine recursive feature elimination, genetic algorithm and random forest for feature selection
 
 
Title: A method for handling metabonomics data from liquid chromatography/mass spectrometry: combinational use of support vector machine recursive feature elimination, genetic algorithm and random forest for feature selection
Author: Lin, Xiaohui
Wang, Quancai
Yin, Peiyuan
Tang, Liang
Tan, Yexiong
Li, Hong
Yan, Kang
Xu, Guowang
Appeared in: Metabolomics
Paging: Volume 7 (2011) nr. 4 pages 549-558
Year: 2011
Contents:
Publisher: Springer US, Boston
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 2 of 16 found articles
 
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