CA
Chloé-Agathe Azencott
École Nationale Supérieure des Mines de Paris, Max Planck Institute for Intelligent Systems, University of California, Irvine, Télécom Bretagne, Max Planck Institute for Developmental Biology
Research areas: Biochemistry, Genetics and Molecular Biology · Molecular Biology · Genetic Associations and Epidemiology · Bioinformatics and Genomic Networks · Epigenetics and DNA Methylation
0000-0003-1003-301X
Employment
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Mines Paris - PSL Professor2024 - Present
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Mines ParisTech Maîtresse de conférence2018 - 2024
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Mines ParisTech Chargé d'Enseignement Recherche2013 - 2018
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Max-Planck-Institut für Intelligente Systeme Research Scientist2011 - 2013
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Max-Planck-Institut für Entwicklungsbiologie Research Scientist2011 - 2013
Education
- 2005 - 2010
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TELECOM Bretagne MSc2002 - 2005
Projects & Funding
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Methods for discovering SNP Combinations Associated with a PHEnotype, from genome-wide data – SCAPHE Agence Nationale de la Recherche2018 - 2021
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Genome-Wide Statistical Studies of Genetic Interactions Alexander von Humboldt-Stiftung2011 - 2013
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Machine Learning Frontiers in Precision Medicine European Research Council
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Paris Artificial Intelligence Research Institute Agence Nationale de la Recherche
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Advancing genotype to phenotype Studies by considering Transposable Elements Variability and Epivariability Agence Nationale de la Recherche
Publications (48)
- Inferring evolutionary distances from whole prokaryotic genome alignments, accounting for among-locus substitution rate heterogeneity Save
- Statistical knockoffs improve biomarker discovery from transcriptomic data Save
- Network-based analysis of genome-wide biobank data boosts discovery of genetic associations in psoriasis Save
- Statistical knockoffs improve biomarker discovery from transcriptomic data Save
- Drug–Target Interactions Prediction at Scale: The Komet Algorithm with the LCIdb Dataset Save
- Drug-Target Interactions Prediction at Scale: the Komet Algorithm with the LCIdb Dataset Save
- Assessing Random Forest self-reproducibility for optimal short biomarker signature discovery Save
- Detection of genes with differential expression dispersion unravels the role of autophagy in cancer progression Save
- A network-guided protocol to discover susceptibility genes in genome-wide association studies using stability selection Save
- EDEN : An Event DEtection Network for the annotation of Breast Cancer recurrences in administrative claims data Save
- Dynamic Risk Prediction of 30-Day Mortality in Patients With Advanced Lung Cancer: Comparing Five Machine Learning Approaches Save
- The French Early Breast Cancer Cohort (FRESH): A Resource for Breast Cancer Research and Evaluations of Oncology Practices Based on the French National Healthcare System Database (SNDS) Save
- A systematic analysis of gene-gene interaction in multiple sclerosis Save
- Interpretable network-guided epistasis detection Save
- Disparities in accessibility to oncology care centers in France Save
- Multitask group Lasso for Genome Wide association Studies in diverse populations Save
- Nonlinear post-selection inference for genome-wide association studies Save
- A new hybrid record linkage process to make epidemiological databases interoperable: application to the GEMO and GENEPSO studies involving BRCA1 and BRCA2 mutation carriers Save
- Drug Target Identification with Machine Learning: How to Choose Negative Examples Save
- Where Do We Stand in Regularization for Life Science Studies? Save