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Statistical methods for differential proteomics at peptide and protein level

Ludger Goeminne (UGent)
(2019)
Author
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(UGent) and (UGent)
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Keywords
statistics, biostatistics, data analysis, differential protein abundance, label-free quantification, differential proteomics, peptide-based linear model, ridge regression, M estimation, Huber weights, empirical Bayes variance estimation, limma, tandem mass spectrometry, experimental design, hurdle model, missing values

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Please use this url to cite or link to this publication:

MLA
Goeminne, Ludger. Statistical Methods for Differential Proteomics at Peptide and Protein Level. Ghent University. Faculty of Science ; Faculty of Medicine and Health Sciences, 2019.
APA
Goeminne, L. (2019). Statistical methods for differential proteomics at peptide and protein level. Ghent University. Faculty of Science ; Faculty of Medicine and Health Sciences.
Chicago author-date
Goeminne, Ludger. 2019. “Statistical Methods for Differential Proteomics at Peptide and Protein Level.” Ghent University. Faculty of Science ; Faculty of Medicine and Health Sciences.
Chicago author-date (all authors)
Goeminne, Ludger. 2019. “Statistical Methods for Differential Proteomics at Peptide and Protein Level.” Ghent University. Faculty of Science ; Faculty of Medicine and Health Sciences.
Vancouver
1.
Goeminne L. Statistical methods for differential proteomics at peptide and protein level. Ghent University. Faculty of Science ; Faculty of Medicine and Health Sciences; 2019.
IEEE
[1]
L. Goeminne, “Statistical methods for differential proteomics at peptide and protein level,” Ghent University. Faculty of Science ; Faculty of Medicine and Health Sciences, 2019.
@phdthesis{8615919,
  author       = {Goeminne, Ludger},
  keywords     = {statistics,biostatistics,data analysis,differential protein abundance,label-free quantification,differential proteomics,peptide-based linear model,ridge regression,M estimation,Huber weights,empirical Bayes variance estimation,limma,tandem mass spectrometry,experimental design,hurdle model,missing values},
  language     = {eng},
  pages        = {XXIII, 230},
  publisher    = {Ghent University. Faculty of Science ; Faculty of Medicine and Health Sciences},
  school       = {Ghent University},
  title        = {Statistical methods for differential proteomics at peptide and protein level},
  year         = {2019},
}