Chloé-Agathe Azencott

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 10

Top Topics

High Dimensional

Energy Minimization Problems

Hilbert Schmidt Independence Criterion

Differential Expression

Top Venues

PLoS Comput. Biol.

Publications

Abdelkader Behdenna, Maximilien Colange, Julien Haziza, Aryo Gema, Guillaume Appé, Chloé-Agathe Azencott, Akpéli Nordor
pyComBat, a Python tool for batch effects correction in high-throughput molecular data using empirical Bayes methods. BMC Bioinform. 24 (1) (2023)
Christophe Le Priol, Chloé-Agathe Azencott, Xavier Gidrol
Detection of genes with differential expression dispersion unravels the role of autophagy in cancer progression. PLoS Comput. Biol. 19 (3) (2023)
Elise Dumas, Anne-Sophie Hamy, Sophie Houzard, Eva Hernandez, Aullène Toussaint, Julien Guerin, Laetitia Chanas, Victoire de Castelbajac, Mathilde Saint-Ghislain, Beatriz Grandal, Eric Daoud, Fabien Reyal, Chloé-Agathe Azencott
EDEN : An Event DEtection Network for the annotation of Breast Cancer recurrences in administrative claims data. CoRR (2022)
Veronica Tozzo, Chloé-Agathe Azencott, Samuele Fiorini, Emanuele Fava, Andrea Trucco, Annalisa Barla
Where Do We Stand in Regularization for Life Science Studies? J. Comput. Biol. 29 (3) (2022)
Héctor Climente-González, Christine Lonjou, Fabienne Lesueur, GENESIS study group, Dominique Stoppa-Lyonnet, Nadine Andrieu, Chloé-Agathe Azencott
Boosting GWAS using biological networks: A study on susceptibility to familial breast cancer. PLoS Comput. Biol. 17 (3) (2021)
Lotfi Slim, Clément Chatelain, Chloé-Agathe Azencott, Jean-Philippe Vert
kernelPSI: a Post-Selection Inference Framework for Nonlinear Variable Selection. ICML (2019)
Héctor Climente-González, Chloé-Agathe Azencott, Samuel Kaski, Makoto Yamada
Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data. Bioinform. 35 (14) (2019)
Chloé-Agathe Azencott
Machine learning and genomics: precision medicine vs. patient privacy. CoRR (2018)
Chloé-Agathe Azencott
Network-Guided Biomarker Discovery. CoRR (2016)
Victor Bellon, Véronique Stoven, Chloé-Agathe Azencott
Multitask Feature Selection with Task Descriptors. PSB (2016)
Mahito Sugiyama, Chloé-Agathe Azencott, Dominik G. Grimm, Yoshinobu Kawahara, Karsten M. Borgwardt
Multi-Task Feature Selection on Multiple Networks via Maximum Flows. SDM (2014)
Chloé-Agathe Azencott, Dominik G. Grimm, Mahito Sugiyama, Yoshinobu Kawahara, Karsten M. Borgwardt
Efficient network-guided multi-locus association mapping with graph cuts. Bioinform. 29 (13) (2013)
Matthew A. Kayala, Chloé-Agathe Azencott, Jonathan H. Chen, Pierre Baldi
Learning to Predict Chemical Reactions. J. Chem. Inf. Model. 51 (9) (2011)
Pierre Baldi, Chloé-Agathe Azencott, Sanjay Joshua Swamidass
Bridging the Gap Between Neural Network and Kernel Methods: Applications to Drug Discovery. WIRN (2010)
Sanjay Joshua Swamidass, Chloé-Agathe Azencott, Kenny Daily, Pierre Baldi
A CROC stronger than ROC: measuring, visualizing and optimizing early retrieval. Bioinform. 26 (10) (2010)
S. Joshua Swamidass, Chloé-Agathe Azencott, Ting-Wan Lin, Hugo Gramajo, Shiou-Chuan Tsai, Pierre Baldi
Influence Relevance Voting: An Accurate And Interpretable Virtual High Throughput Screening Method. J. Chem. Inf. Model. 49 (4) (2009)
Chloé-Agathe Azencott, Alexandre Ksikes, S. Joshua Swamidass, Jonathan H. Chen, Liva Ralaivola, Pierre Baldi
One- to Four-Dimensional Kernels for Virtual Screening and the Prediction of Physical, Chemical, and Biological Properties. J. Chem. Inf. Model. 47 (3) (2007)