Advanced search
2 files | 3.64 MB Add to list

MSqRob : analysis of label-free proteomics data in an R/Shiny environment

Ludger Goeminne (UGent) , Kris Gevaert (UGent) and Lieven Clement (UGent)
Author
Organization
Keywords
MSqRob, R, Shiny, statistics, biostatistics, data analysis, differential protein abundance, label-free quantification, differential proteomics, peptide-based linear model, robust ridge regression, M estimation, Huber weights, empirical Bayes variance estimation, tandem mass spectrometry, overfitting, outliers, missing values

Downloads

  • presentation Eubic Winter School 2017 3.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 2.18 MB
  • poster Eubic Ludger.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 1.45 MB

Citation

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

MLA
Goeminne, Ludger, Kris Gevaert, and Lieven Clement. “MSqRob : Analysis of Label-free Proteomics Data in an R/Shiny Environment.” EuBIC Winter School, Abstracts. 2017. Print.
APA
Goeminne, L., Gevaert, K., & Clement, L. (2017). MSqRob : analysis of label-free proteomics data in an R/Shiny environment. EuBIC Winter School, Abstracts. Presented at the 2017 EuBIC Winter School.
Chicago author-date
Goeminne, Ludger, Kris Gevaert, and Lieven Clement. 2017. “MSqRob : Analysis of Label-free Proteomics Data in an R/Shiny Environment.” In EuBIC Winter School, Abstracts.
Chicago author-date (all authors)
Goeminne, Ludger, Kris Gevaert, and Lieven Clement. 2017. “MSqRob : Analysis of Label-free Proteomics Data in an R/Shiny Environment.” In EuBIC Winter School, Abstracts.
Vancouver
1.
Goeminne L, Gevaert K, Clement L. MSqRob : analysis of label-free proteomics data in an R/Shiny environment. EuBIC Winter School, Abstracts. 2017.
IEEE
[1]
L. Goeminne, K. Gevaert, and L. Clement, “MSqRob : analysis of label-free proteomics data in an R/Shiny environment,” in EuBIC Winter School, Abstracts, Semmering, Austria, 2017.
@inproceedings{8616173,
  author       = {Goeminne, Ludger and Gevaert, Kris and Clement, Lieven},
  booktitle    = {EuBIC Winter School, Abstracts},
  keywords     = {MSqRob,R,Shiny,statistics,biostatistics,data analysis,differential protein abundance,label-free quantification,differential proteomics,peptide-based linear model,robust ridge regression,M estimation,Huber weights,empirical Bayes variance estimation,tandem mass spectrometry,overfitting,outliers,missing values},
  language     = {eng},
  location     = {Semmering, Austria},
  title        = {MSqRob : analysis of label-free proteomics data in an R/Shiny environment},
  year         = {2017},
}