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Statistical methods for differential proteomics at peptide and protein level

(2019)
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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}},
}