Bagging classification tree-based robust variable selection for radial basis function network modeling in metabonomics data analysis-Reference-Cited by-同舟云学术

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Bagging classification tree-based robust variable selection for radial basis function network modeling in metabonomics data analysis

Published:2018-03 Issue: Volume:174 Page:76-84
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Gu Hui,Cui Yan-Fang,Xu Lu,Tu Meng-Ying,Fu Yan-Jiao,Fu Hai-Yan,Zhou Yan-Ping

Funder

National Natural Science Foundation of China

Self-determined Research Funds of CCNU from the Colleges' Basic Research and Operation of MOE

Open Fund of State Key Laboratory of Chemo/Biosensing and Chemometrics of Hunan University

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference38 articles.

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2. Metabolomics as a challenging approach for medicinal chemistry and personalized medicine;Michel;J. Med. Chem.,2016

3. Differential plasma lipids profiling and lipid signatures as biomarkers in the early diagnosis of ovarian carcinoma using UPLC-MS;Hou;Metabolomics,2016

4. Multivariate methods in metabolomics from pre-processing to dimension reduction and statistical analysis;Kristian;Trends Anal. Chem.,2011

5. Data-processing strategies for metabolomics studies;Hendriks;Trends Anal. Chem.,2011

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