Chloé-Agathe Azencott

22 papers A* 1A 1Misc 1Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Assessing Random Forest self-reproducibility for optimal short biomarker signature discovery. Briefings Bioinform. Ahmed Debit, Christophe Poulet, Claire Josse, Guy Jerusalem, Chloé-Agathe Azencott, Vincent Bours, Kristel Van Steen
2025	J	`jnl`	Sparse multitask group Lasso for genome-wide association studies. PLoS Comput. Biol. Asma Nouira, Chloé-Agathe Azencott
2024	J	`jnl`	Drug-Target Interactions Prediction at Scale: The Komet Algorithm with the LCIdb Dataset. J. Chem. Inf. Model. Gwenn Guichaoua, Philippe Pinel, Brice Hoffmann, Chloé-Agathe Azencott, Véronique Stoven
2023	J	`jnl`	Detection of genes with differential expression dispersion unravels the role of autophagy in cancer progression. PLoS Comput. Biol. Christophe Le Priol, Chloé-Agathe Azencott, Xavier Gidrol
2023	J	`jnl`	pyComBat, a Python tool for batch effects correction in high-throughput molecular data using empirical Bayes methods. BMC Bioinform. Abdelkader Behdenna, Maximilien Colange, Julien Haziza, Aryo Gema, Guillaume Appé, Chloé-Agathe Azencott, Akpéli Nordor
2022	J	`jnl`	EDEN : An Event DEtection Network for the annotation of Breast Cancer recurrences in administrative claims data. CoRR 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
2022	J	`jnl`	Where Do We Stand in Regularization for Life Science Studies? J. Comput. Biol. Veronica Tozzo, Chloé-Agathe Azencott, Samuele Fiorini, Emanuele Fava, Andrea Trucco, Annalisa Barla
2021	J	`jnl`	Boosting GWAS using biological networks: A study on susceptibility to familial breast cancer. PLoS Comput. Biol. Héctor Climente-González, Christine Lonjou, Fabienne Lesueur, GENESIS study group, Dominique Stoppa-Lyonnet, Nadine Andrieu, Chloé-Agathe Azencott
2020	—	`book`	Machine learning tools for biomarker discovery. (Outils d'apprentissage statistique pour la découverte de biomarqueurs). Chloé-Agathe Azencott
2019	J	`jnl`	Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data. Bioinform. Héctor Climente-González, Chloé-Agathe Azencott, Samuel Kaski, Makoto Yamada
2019	A*	`conf`	kernelPSI: a Post-Selection Inference Framework for Nonlinear Variable Selection. ICML Lotfi Slim, Clément Chatelain, Chloé-Agathe Azencott, Jean-Philippe Vert
2018	J	`jnl`	Machine learning and genomics: precision medicine vs. patient privacy. CoRR Chloé-Agathe Azencott
2016	Misc	`conf`	Multitask Feature Selection with Task Descriptors. PSB Victor Bellon, Véronique Stoven, Chloé-Agathe Azencott
2016	J	`jnl`	Network-Guided Biomarker Discovery. CoRR Chloé-Agathe Azencott
2016	—	`ch.`	Network-Guided Biomarker Discovery. Machine Learning for Health Informatics Chloé-Agathe Azencott
2014	A	`conf`	Multi-Task Feature Selection on Multiple Networks via Maximum Flows. SDM Mahito Sugiyama, Chloé-Agathe Azencott, Dominik G. Grimm, Yoshinobu Kawahara, Karsten M. Borgwardt
2013	J	`jnl`	Efficient network-guided multi-locus association mapping with graph cuts. Bioinform. Chloé-Agathe Azencott, Dominik G. Grimm, Mahito Sugiyama, Yoshinobu Kawahara, Karsten M. Borgwardt
2011	J	`jnl`	Learning to Predict Chemical Reactions. J. Chem. Inf. Model. Matthew A. Kayala, Chloé-Agathe Azencott, Jonathan H. Chen, Pierre Baldi
2010	J	`jnl`	A CROC stronger than ROC: measuring, visualizing and optimizing early retrieval. Bioinform. Sanjay Joshua Swamidass, Chloé-Agathe Azencott, Kenny Daily, Pierre Baldi
2010	—	`conf`	Bridging the Gap Between Neural Network and Kernel Methods: Applications to Drug Discovery. WIRN Pierre Baldi, Chloé-Agathe Azencott, Sanjay Joshua Swamidass
2009	J	`jnl`	Influence Relevance Voting: An Accurate And Interpretable Virtual High Throughput Screening Method. J. Chem. Inf. Model. S. Joshua Swamidass, Chloé-Agathe Azencott, Ting-Wan Lin, Hugo Gramajo, Shiou-Chuan Tsai, Pierre Baldi
2007	J	`jnl`	One- to Four-Dimensional Kernels for Virtual Screening and the Prediction of Physical, Chemical, and Biological Properties. J. Chem. Inf. Model. Chloé-Agathe Azencott, Alexandre Ksikes, S. Joshua Swamidass, Jonathan H. Chen, Liva Ralaivola, Pierre Baldi