Florence Combes
Florence Combes
EDyP-lab
Verified email at cea.fr
Title
Cited by
Cited by
Year
DAPAR & ProStaR: software to perform statistical analyses in quantitative discovery proteomics
S Wieczorek, F Combes, C Lazar, Q Giai Gianetto, L Gatto, A Dorffer, ...
Bioinformatics 33 (1), 135-136, 2016
782016
Unbalanced expression of CK2 kinase subunits is sufficient to drive epithelial-to-mesenchymal transition by Snail1 induction
A Deshiere, E Duchemin-Pelletier, E Spreux, D Ciais, F Combes, ...
Oncogene 32 (11), 1373, 2013
752013
An evaluation of custom microarray applications: the oligonucleotide design challenge
S Lemoine, F Combes, S Le Crom
Nucleic acids research 37 (6), 1726-1739, 2009
692009
Goulphar: rapid access and expertise for standard two-color microarray normalization methods
S Lemoine, F Combes, N Servant, S Le Crom
BMC bioinformatics 7 (1), 467, 2006
662006
Identification of a novel BET bromodomain inhibitor‐sensitive, gene regulatory circuit that controls Rituximab response and tumour growth in aggressive lymphoid cancers
A Emadali, S Rousseaux, J Bruder‐Costa, C Rome, S Duley, S Hamaidia, ...
EMBO molecular medicine 5 (8), 1180-1195, 2013
642013
Adipose gene expression prior to weight loss can differentiate and weakly predict dietary responders
DM Mutch, MR Temanni, C Henegar, F Combes, V Pelloux, C Holst, ...
PloS one 2 (12), e1344, 2007
472007
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
272016
Proteomic characterization of human exhaled breath condensate
M Lacombe, C Marie-Desvergne, F Combes, A Kraut, C Bruley, ...
Journal of breath research 12 (2), 021001, 2018
142018
Uranium perturbs signaling and iron uptake response in Arabidopsis thaliana roots
F Doustaly, F Combes, JB Fiévet, S Berthet, V Hugouvieux, O Bastien, ...
Metallomics 6 (4), 809-821, 2014
132014
Bioinformatics Tools and Workflow to Select Blood Biomarkers for Early Cancer Diagnosis: An Application to Pancreatic Cancer
Y Vandenbrouck, D Christiany, F Combes, V Loux, V Brun
PROTEOMICS, 1800489, 2019
82019
Protein-Level Statistical Analysis of Quantitative Label-Free Proteomics Data with ProStaR
S Wieczorek, F Combes, H Borges, T Burger
Proteomics for Biomarker Discovery, 225-246, 2019
32019
Package ‘cp4p’
QG Gianetto, F Combes, C Ramus, MQG Gianetto
22019
Designing an In Silico Strategy to Select Tissue-Leakage Biomarkers Using the Galaxy Framework
L Nguyen, V Brun, F Combes, V Loux, Y Vandenbrouck
Proteomics for Biomarker Discovery, 275-289, 2019
22019
Extracting transcriptional regulatory modules from a large microarray compendium using a graph-based approach: application to the response of Arabidopsis thaliana under stress …
F Boyer, F Combes, J Bourguignon, Y Vandenbrouck
TIC Signal Process Proc Ser 48, 23-27, 2009
22009
Comprehensive and comparative exploration of the Atp7b−/− mouse plasma proteome
M Lacombe, M Jaquinod, L Belmudes, Y Couté, C Ramus, F Combes, ...
Metallomics, 2020
12020
PEPA test: fast and powerful differential analysis from relative quantitative proteomics data using shared peptides
L Jacob, F Combes, T Burger
Biostatistics 20 (4), 632-647, 2018
12018
Design of oligonucleotide probes for microarrays: which software for which needs
F Combes, S Lemoine, S Le Crom
Posters proc. JOBIM, 2005
12005
Package ‘DAPARdata’
S Wieczorek, F Combes
2016
Calibration Plot for Proteomics (CP4P): A graphical tool to visually check the assumptions
QG Gianetto, F Combes, C Ramus
2015
Exploring the Response of Plants Grown under Uranium Stress
F Doustaly, S Berthet, J Bourguignon, F Combes, Y Vandenbrouck, ...
2014
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Articles 1–20