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Thomas Burger
Thomas Burger
CNRS senior scientist, EDyP-Lab (CEA, CNRS, INSERM, Université Grenoble Alpes)
Zweryfikowany adres z cea.fr - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Accounting for the Multiple Natures of Missing Values in Label-Free Quantitative Proteomics Data Sets to Compare Imputation Strategies
C Lazar, L Gatto, M Ferro, C Bruley, T Burger
Journal of proteome research 15 (4), 1116-1125, 2016
4432016
DAPAR & ProStaR: software to perform statistical analyses in quantitative discovery proteomics
S Wieczorek, F Combes, C Lazar, QG Gianetto, L Gatto, A Dorffer, ...
Bioinformatics 33 (1), btw580, 2017
2712017
Toward an axiomatic definition of conflict between belief functions
S Destercke, T Burger
IEEE transactions on cybernetics 43 (2), 585-596, 2013
152*2013
Mass-spectrometry-based spatial proteomics data analysis using pRoloc and pRolocdata
L Gatto, LM Breckels, S Wieczorek, T Burger, KS Lilley
Bioinformatics 30 (9), 1322-1324, 2014
1092014
Deciphering thylakoid sub-compartments using a mass spectrometry-based approach
M Tomizioli, C Lazar, S Brugière, T Burger, D Salvi, L Gatto, L Moyet, ...
Molecular & Cellular Proteomics 13 (8), 2147-2167, 2014
1082014
Gentle Introduction to the Statistical Foundations of False Discovery Rate in Quantitative Proteomics
T Burger
Journal of proteome research 17 (1), 12-22, 2018
882018
A belief-based sequential fusion approach for fusing manual signs and non-manual signals
O Aran, T Burger, A Caplier, L Akarun
Pattern Recognition 42 (5), 812-822, 2009
772009
Calibration plot for proteomics: A graphical tool to visually check the assumptions underlying FDR control in quantitative experiments
Q Giai Gianetto, F Combes, C Ramus, C Bruley, Y Couté, T Burger
PROTEOMICS 16 (1), 29-32, 2016
762016
A foundation for reliable spatial proteomics data analysis
L Gatto, LM Breckels, T Burger, DJH Nightingale, AJ Groen, C Campbell, ...
Molecular & Cellular Proteomics 13 (8), 1937-1952, 2014
622014
Beyond target-decoy competition: stable validation of peptide and protein identifications in mass spectrometry-based discovery proteomics
Y Couté, C Bruley, T Burger
Analytical Chemistry 92 (22), 14898–14906, 2020
512020
A Dempster–Shafer Theory based combination of handwriting recognition systems with multiple rejection strategies
Y Kessentini, T Burger, T Paquet
Pattern Recognition 48 (2), 534-544, 2015
392015
A consistency-specificity trade-off to select source behavior in information fusion
F Pichon, S Destercke, T Burger
IEEE transactions on cybernetics 45 (4), 598-609, 2014
382014
Geometric views on conflicting mass functions: From distances to angles
T Burger
International Journal of Approximate Reasoning 70, 36-50, 2016
36*2016
Cued speech hand gestures recognition tool
T Burger, A Caplier, S Mancini
2005 13th European Signal Processing Conference, 1-4, 2005
312005
A peptide-level multiple imputation strategy accounting for the different natures of missing values in proteomics data
QG Gianetto, S Wieczorek, Y Couté, T Burger
bioRxiv, 2020.05. 29.122770, 2020
292020
How to randomly generate mass functions
T Burger, S Destercke
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2013
28*2013
Image and video for hearing impaired people
A Caplier, S Stillittano, O Aran, L Akarun, G Bailly, D Beautemps, ...
EURASIP Journal on Image and Video Processing 2007, 1-14, 2008
262008
Modeling hesitation and conflict: a belief-based approach for multi-class problems
T Burger, O Aran, A Caplier
2006 5th International Conference on Machine Learning and Applications …, 2006
232006
Uses and misuses of the fudge factor in quantitative discovery proteomics
Q Giai Gianetto, Y Couté, C Bruley, T Burger
Proteomics 16 (14), 1955-1960, 2016
222016
PerTurbo Manifold Learning Algorithm for Weakly Labeled Hyperspectral Image Classification
L Chapel, T Burger, N Courty, S Lefèvre
IEEE, 2014
21*2014
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