Characterization of missing values in untargeted MS-based metabolomics data and evaluation of missing data handling strategies

被引：0

作者：

Kieu Trinh Do

Simone Wahl

Johannes Raffler

Sophie Molnos

Michael Laimighofer

Jerzy Adamski

Karsten Suhre

Konstantin Strauch

Annette Peters

Christian Gieger

Claudia Langenberg

Isobel D. Stewart

Fabian J. Theis

Harald Grallert

Gabi Kastenmüller

Jan Krumsiek

机构：

[1] Helmholtz-Zentrum München,Institute of Computational Biology

[2] Helmholtz Zentrum München,Institute of Epidemiology II, German Research Center for Environmental Health

[3] Helmholtz Zentrum München,Research Unit of Molecular Epidemiology, German Research Center for Environmental Health

[4] German Center for Diabetes Research (DZD e.V.),Institute of Bioinformatics and Systems Biology

[5] Helmholtz-Zentrum München,Institute of Experimental Genetics, Genome Analysis Center

[6] Helmholtz Zentrum München,Lehrstuhl für Experimentelle Genetik

[7] Technische Universität München,Department of Physiology and Biophysics

[8] German Center for Cardiovascular Disease Research (DZHK e.V.),Institute of Genetic Epidemiology

[9] Weill Cornell Medical College in Qatar,Chair of Genetic Epidemiology, Institute of Medical Informatics, Biometry and Epidemiology

[10] Helmholtz Zentrum München–German Research Center for Environmental Health,MRC Epidemiology Unit

[11] Ludwig-Maximilians-University,Department of Mathematics

[12] University of Cambridge,Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Department of Physiology and Biophysics

[13] Technische Universität München,undefined

[14] Weill Cornell Medicine,undefined

来源：

Metabolomics | 2018年 / 14卷

关键词：

Untargeted metabolomics; Missing values imputation; Limit of detection; Batch effects; K-nearest neighbor; Mass spectrometry;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

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