Feature selection for OPLS discriminant analysis of cancer tissue lipidomics data-Reference-Cited by-同舟云学术

Feature selection for OPLS discriminant analysis of cancer tissue lipidomics data

Published:2019-12-09 Issue:1 Volume:55 Page:
ISSN:1076-5174
Container-title:Journal of Mass Spectrometry
language:en
Short-container-title:J Mass Spectrom

Author:

Tokareva Alisa O.¹²,Chagovets Vitaliy V.³,Starodubtseva Natalia L.³,Nazarova Niso M.³,Nekrasova Maria E.³,Kononikhin Alexey S.¹⁴^ORCID,Frankevich Vladimir E.³,Nikolaev Evgeny N.²⁴,Sukhikh Gennady T.³

Affiliation:

1. Department of molecular and chemical physics Moscow Institute of Physics and Technology Moscow Russia

2. V.L. Talrose Institute for Energy Problems of Chemical Physics, N.N. Semenov Federal Center of Chemical Physic Russian Academy of Sciences Moscow Russia

3. National Medical Research Center for Obstetrics, Laboratory of Proteomics and Metabolomics VI Kulakov Federal Research Center of Obstetrics Gynecology and Perinatology Moscow Russia

4. CDISE Skolkovo Institute of Science and Technology Moscow Russia

Funder

Russian Science Foundation

Publisher

Wiley

Subject

Spectroscopy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jms.4457

Reference51 articles.

1. From targeted quantification to untargeted metabolomics: Why LC-high-resolution-MS will become a key instrument in clinical labs

2. Comprehensive and Quantitative Analysis of Lysophospholipid Molecular Species Present in Obese Mouse Liver by Shotgun Lipidomics