OutlierD: an R package for outlier detection using quantile regression on mass spectrometry data-Reference-Cited by-同舟云学术

OutlierD: an R package for outlier detection using quantile regression on mass spectrometry data

Published:2008-01-10 Issue:6 Volume:24 Page:882-884
ISSN:1460-2059
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Cho HyungJun,Kim Yang-jin,Jung Hee Jung,Lee Sang-Won,Lee Jae Won

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/24/6/882/16886176/btn012.pdf

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4. Evaluation of multidimensional chromatography coupled with tandem mass spectrometry (LC/LC-MS/MS) for large-scale protein analysis: the yeast proteome;Peng;J. Proteome Res,2003

5. Identification and quantification of N-linked glycoproteins using hydrazide chemistry, stable isotope labeling and mass spectrometry;Zhang;Nat. Biotechnol,2003

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