Ghent University Academic Bibliography

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Statistical methods for differential proteomics at peptide and protein level

Ludger Goeminne

(2019)
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Identification of immune-responsive gene 1 (IRG1) as a target of A20

Emmy Van Quickelberghe (UGent) , Arne Martens (UGent) , Ludger Goeminne, Lieven Clement (UGent) , Geert van Loo (UGent) and Kris Gevaert (UGent)

(2018) JOURNAL OF PROTEOME RESEARCH. 17(6). p.2182-2191
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- Conference Paper
- C3
- open access
MSqRob : analysis of label-free proteomics data in an R/Shiny environment

Ludger Goeminne, Kris Gevaert (UGent) and Lieven Clement (UGent)

(2017) EuBIC Winter School, Abstracts.
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- Conference Paper
- C3
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Analyzing repeated measures designs in label-free proteomics with MSqRob (MCP 2016 15(2):657-68.)

Lieven Clement (UGent) , Ludger Goeminne, Emmy Van Quickelberghe (UGent) and Kris Gevaert (UGent)

(2017) EuBIC Winter School, Abstracts.
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- Conference Paper
- C3
- open access
MSqRob: analysis of label-free proteomics data in an R/Shiny environment

Ludger Goeminne, Emmy Van Quickelberghe (UGent) , Kris Gevaert (UGent) and Lieven Clement (UGent)

(2017) Proteomic Forum, Abstracts.
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- Conference Paper
- C3
- open access
A leap over the hurdle in label-free quantitative proteomics

Ludger Goeminne, Kris Gevaert (UGent) and Lieven Clement (UGent)

(2017) Human Proteome Organisation, 16th World congress, Abstracts.
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A pipeline for differential proteomics in unsequenced species

Sule Yilmaz-Rumpf (UGent) , Bjorn Victor, Niels Hulstaert (UGent) , Elien Vandermarliere (UGent) , Harald Barsnes, Sven Degroeve (UGent) , Surya Gupta (UGent) , Adriaan Sticker, Sarah Gabriël (UGent) , Pierre Dorny (UGent) , et al.

(2016) JOURNAL OF PROTEOME RESEARCH. 15(6). p.1963-1970
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- Conference Paper
- C3
Robust peptide-based models in quantitative proteomics

Ludger Goeminne, Klaas Vandepoele (UGent) , Kris Gevaert (UGent) and Lieven Clement (UGent)

(2015) Proteomic Forum, Abstracts.
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- C3
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Peptide-level robust ridge regression modeling improves both sensitivity and specificity in quantitative proteomics

Ludger Goeminne, Lieven Clement (UGent) , Kris Gevaert (UGent) and Klaas Vandepoele (UGent)

(2015) MaxQuant summer school, 7th, Abstracts.

Academic Bibliography

Statistical methods for differential proteomics at peptide and protein level

Identification of immune-responsive gene 1 (IRG1) as a target of A20

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

Analyzing repeated measures designs in label-free proteomics with MSqRob (MCP 2016 15(2):657-68.)

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

A leap over the hurdle in label-free quantitative proteomics

A pipeline for differential proteomics in unsequenced species

Robust peptide-based models in quantitative proteomics

Peptide-level robust ridge regression modeling improves both sensitivity and specificity in quantitative proteomics

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