Ghent University Academic Bibliography

Show Sort by

Your filters: cql: keyword exact "missing values"

Add to list
- Conference Paper
- P1
- open access
Adapting fuzzy rough sets for classification with missing values

Oliver Lenz (UGent) , Daniel Peralta (UGent) and Chris Cornelis (UGent)

(2021) Rough Sets. In Lecture Notes in Computer Science 12872. p.192-200
Add to list
- PhD Thesis
- open access
Statistical methods for differential proteomics at peptide and protein level

Ludger Goeminne

(2019)
Add to list
- 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.
Add to list
- 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.
Add to list
- 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.
Add to list
- Conference Paper
- C3
- open access
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.
Add to list
Training energy-based models for time-series imputation

Philémon Brakel (UGent) , Dirk Stroobandt (UGent) and Benjamin Schrauwen (UGent)

(2013) JOURNAL OF MACHINE LEARNING RESEARCH. 14. p.2771-2797
Add to list
How many spots with missing values can be tolerated in quantitative two-dimensional gel electrophoresis when applying univariate statistics?

Maria Zellner, Alexandra Graf, Sonja Zehetmayer, Wolfgang Winkler, An Staes (UGent) , Kris Gevaert (UGent) , Joël Vandekerckhove (UGent) , Martina Marchetti-Deschmann, Ingrid Miller, Peter Bauer, et al.

(2012) JOURNAL OF PROTEOMICS. 75(6). p.1792-1802
Add to list
- Conference Paper
- P1
- open access
Energy-based temporal neural networks for imputing missing values

Philémon Brakel (UGent) and Benjamin Schrauwen (UGent)

(2012) LECTURE NOTES IN COMPUTER SCIENCE. 7664. p.575-582
Add to list
A cumulative belief degree-based approach for missing values in nuclear safeguards evaluation

Özgür Kabak and Da Ruan (UGent)

(2011) IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING. 23(10). p.1441-1454

Academic Bibliography

Adapting fuzzy rough sets for classification with missing values

Statistical methods for differential proteomics at peptide and protein level

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

A leap over the hurdle in label-free quantitative proteomics

Robust peptide-based models in quantitative proteomics

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

Training energy-based models for time-series imputation

How many spots with missing values can be tolerated in quantitative two-dimensional gel electrophoresis when applying univariate statistics?

Energy-based temporal neural networks for imputing missing values

A cumulative belief degree-based approach for missing values in nuclear safeguards evaluation

Contents

Support

Contact