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Researcher
Ludger Goeminne
Profile
Projects
Publications
Activities
Awards & Distinctions
15
Results
2020
MSqRob takes the missing hurdle : uniting intensity- and count-based proteomics
Ludger Goeminne
Adriaan Sticker
Lennart Martens
Kris Gevaert
Lieven Clement
A1
Journal Article
in
ANALYTICAL CHEMISTRY
2020
Robust summarization and inference in proteome-wide label-free quantification
Adriaan Sticker
Ludger Goeminne
Lennart Martens
Lieven Clement
A1
Journal Article
in
MOLECULAR & CELLULAR PROTEOMICS
2020
2019
Robust summarisation and inference for Label-Free Quantification
Adriaan Sticker
Ludger Goeminne
Lennart Martens
Lieven Clement
C3
Conference
2019
Statistical methods for differential proteomics at peptide and protein level
Ludger Goeminne
Lieven Clement
Kris Gevaert
Dissertation
2019
2018
Experimental design and data-analysis in label-free quantitative LC/MS proteomics : a tutorial with MSqRob
Ludger Goeminne
Kris Gevaert
Lieven Clement
A1
Journal Article
in
JOURNAL OF PROTEOMICS
2018
Identification of immune-responsive gene 1 (IRG1) as a target of A20
Emmy Van Quickelberghe
Arne Martens
Ludger Goeminne
Lieven Clement
Geert van Loo
Kris Gevaert
A1
Journal Article
in
JOURNAL OF PROTEOME RESEARCH
2018
2017
A leap over the hurdle in label-free quantitative proteomics
Ludger Goeminne
Kris Gevaert
Lieven Clement
C3
Conference
2017
Analyzing repeated measures designs in label-free proteomics with MSqRob (MCP 2016 15(2):657-68.)
Lieven Clement
Ludger Goeminne
Emmy Van Quickelberghe
Kris Gevaert
C3
Conference
2017
MSqRob : analysis of label-free proteomics data in an R/Shiny environment
Ludger Goeminne
Kris Gevaert
Lieven Clement
C3
Conference
2017
MSqRob: analysis of label-free proteomics data in an R/Shiny environment
Ludger Goeminne
Emmy Van Quickelberghe
Kris Gevaert
Lieven Clement
C3
Conference
2017
2016
Peptide-level robust ridge regression improves estimation, sensitivity, and specificity in data-dependent quantitative label-free shotgun proteomics
Ludger Goeminne
Kris Gevaert
Lieven Clement
A1
Journal Article
in
MOLECULAR & CELLULAR PROTEOMICS
2016
moFF : a robust and automated approach to extract peptide ion intensities
Andrea Argentini
Ludger Goeminne
Kenneth Verheggen
Niels Hulstaert
An Staes
Lieven Clement
Lennart Martens
A1
Journal Article
in
NATURE METHODS
2016
2015
Peptide-level robust ridge regression modeling improves both sensitivity and specificity in quantitative proteomics
Ludger Goeminne
Lieven Clement
Kris Gevaert
Klaas Vandepoele
C3
Conference
2015
Robust peptide-based models in quantitative proteomics
Ludger Goeminne
Klaas Vandepoele
Kris Gevaert
Lieven Clement
C3
Conference
2015
Summarization vs. peptide-based models in label-free quantitative proteomics : performance, pitfalls, and data analysis guidelines
Ludger Goeminne
Andrea Argentini
Lennart Martens
Lieven Clement
A1
Journal Article
in
JOURNAL OF PROTEOME RESEARCH
2015