Projects and grants
MLPM: Machine Learning for Personalised Medicine
International Training Network, 2012-2016.
RADIANT: Rapid development and distribution of statistical tools for high-throughput sequencing.
ABS4NGS: Algorithms, bioinformatics and softwares for next-generation sequencing
"Investments for the future" program.
SMAC: Statistical machine learning for complex biological data
ERC starting grant
CRESTNET: Building regulatory networks in neural crest induction: integrative approaches in vivo and in stem cells.
Programme Blanc 2012-2014.
Structured machine learning for microbiology: mass spectrometry and high-throughput sequencing. Collaboration with
Integrated analysis of methylation profiles in breast cancers.
The French League against Cancer
NADINE: Nanosystems for early diagnosis of neurodegenerative diseases
Many thanks to our sponsors!
AP'ONCALYPSE: Validation of an immune signature predicting a therapeutic response to anthracyclines in breast cancer.
Statistical Methods for the Joint Analysis of High-Throughput Transcription and Genotype Data.
CLARA : clustering in high dimension, algorithms and applications
Programme Blanc 2009-2013.
Development of algorithms and databases in cancer informatics. CNRS/
Gift from the
Operation tulipes contre le cancer
of the Lions CLub, 2008.
MGA: Graphical models and applications.
Programme Blanc 2007-2011.
RAMIS: High-resolution microscopy for screening of anti-cancer drugs.
PARTOX: Monitoring the toxicity of nanoparticles.
Inference and learning in dynamic graphical models, with applications in speech and bio-informatics.
BIOTYPE: caracterization of prostate tumors by multiple technologies.
Machine learning for virtual screening. Institut Carnot 2007-2009.
DSIR: algorithms for design of siRNA.
Ligue nationale contre le cancer
INDIGO: integrated highly sensitive fluorescence-based biosensors for diagnosis applications
ESBIC-D: a European systems biology infrastructure for combating complex diseases
Detecting genomic relations among heterogeneous genomic datasets
. NIH 2004-2007.
KERNELCHIP: Integration of gene expression data and gene regulatory networks for the study of cancerous tumors
. ACI IMPBIO 2004-2007.
GEMBIO: analysis of anti-malaria drug effects on P. falciparum
. GEM 2004-2007.
BIOCLASSIF: statistical learning theory for structured and high-dimensional data
. CNRS 2004-2006.
Machine learning for virtual screening.
iBIOINFO: development of methods and bioinformatics tools to analyze cell chip data.
SAKURA: statistical and combinatorial analysis of biological networks