Chloé-Agathe Azencott

According to our database, Chloé-Agathe Azencott authored at least 19 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

pyComBat, a Python tool for batch effects correction in high-throughput molecular data using empirical Bayes methods.

Abdelkader Behdenna, Maximilien Colange, Julien Haziza, Aryo Gema, Guillaume Appé, Chloé-Agathe Azencott, Akpéli Nordor

BMC Bioinform., December, 2023

Detection of genes with differential expression dispersion unravels the role of autophagy in cancer progression.

Christophe Le Priol, Chloé-Agathe Azencott, Xavier Gidrol

PLoS Comput. Biol., March, 2023

2022

Where Do We Stand in Regularization for Life Science Studies?

Veronica Tozzo, Chloé-Agathe Azencott, Samuele Fiorini, Emanuele Fava, Andrea Trucco, Annalisa Barla

J. Comput. Biol., 2022

EDEN : An Event DEtection Network for the annotation of Breast Cancer recurrences in administrative claims data.

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

CoRR, 2022

2021

Boosting GWAS using biological networks: A study on susceptibility to familial breast cancer.

Héctor Climente-González, Christine Lonjou, Fabienne Lesueur, GENESIS study group, Dominique Stoppa-Lyonnet, Nadine Andrieu, Chloé-Agathe Azencott

PLoS Comput. Biol., 2021

2020

Machine learning tools for biomarker discovery. (Outils d'apprentissage statistique pour la découverte de biomarqueurs).

Chloé-Agathe Azencott

, 2020

2019

Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data.

Héctor Climente-González, Chloé-Agathe Azencott, Samuel Kaski, Makoto Yamada

Bioinform., 2019

kernelPSI: a Post-Selection Inference Framework for Nonlinear Variable Selection.

Lotfi Slim, Clément Chatelain, Chloé-Agathe Azencott, Jean-Philippe Vert

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Machine learning and genomics: precision medicine vs. patient privacy.

Chloé-Agathe Azencott

CoRR, 2018

2016

Network-Guided Biomarker Discovery.

Chloé-Agathe Azencott

Proceedings of the Machine Learning for Health Informatics, 2016

Network-Guided Biomarker Discovery.

Chloé-Agathe Azencott

CoRR, 2016

Multitask Feature Selection with Task Descriptors.

Victor Bellon, Véronique Stoven, Chloé-Agathe Azencott

Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

2014

Multi-Task Feature Selection on Multiple Networks via Maximum Flows.

Mahito Sugiyama, Chloé-Agathe Azencott, Dominik G. Grimm, Yoshinobu Kawahara, Karsten M. Borgwardt

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

2013

Efficient network-guided multi-locus association mapping with graph cuts.

Chloé-Agathe Azencott, Dominik G. Grimm, Mahito Sugiyama, Yoshinobu Kawahara, Karsten M. Borgwardt

Bioinform., 2013

2011

Learning to Predict Chemical Reactions.

Matthew A. Kayala, Chloé-Agathe Azencott, Jonathan H. Chen, Pierre Baldi

J. Chem. Inf. Model., 2011

2010

A CROC stronger than ROC: measuring, visualizing and optimizing early retrieval.

Sanjay Joshua Swamidass, Chloé-Agathe Azencott, Kenny Daily, Pierre Baldi

Bioinform., 2010

Bridging the Gap Between Neural Network and Kernel Methods: Applications to Drug Discovery.

Pierre Baldi, Chloé-Agathe Azencott, Sanjay Joshua Swamidass

Proceedings of the Neural Nets WIRN10, 2010

2009

Influence Relevance Voting: An Accurate And Interpretable Virtual High Throughput Screening Method.

S. Joshua Swamidass, Chloé-Agathe Azencott, Ting-Wan Lin, Hugo Gramajo, Shiou-Chuan Tsai, Pierre Baldi

J. Chem. Inf. Model., 2009

2007

One- to Four-Dimensional Kernels for Virtual Screening and the Prediction of Physical, Chemical, and Biological Properties.

Chloé-Agathe Azencott, Alexandre Ksikes, S. Joshua Swamidass, Jonathan H. Chen, Liva Ralaivola, Pierre Baldi

J. Chem. Inf. Model., 2007