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20112024
most citedStudying Limits of Explainability by Integrated Gradients for Gene Expression Models

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Explaining models relating objects and privacy

Alessio Xompero, Myriam Bontonou, Jean-Michel Arbona +2

Accurately predicting whether an image is private before sharing it online is difficult due to the vast variety of content and the subjective nature of privacy itself. In this pape…

math.OC2024

Identifying a piecewise affine signal from its nonlinear observation -- application to DNA replication analysis

Clara Lage, Nelly Pustelnik, Benjamin Audit +2

DNA replication stands as one of the fundamental biological processes crucial for cellular functioning. Recent experimental developments enable the study of replication dynamics at…

q-bio.GN2024

A Comparative Analysis of Gene Expression Profiling by Statistical and Machine Learning Approaches

Myriam Bontonou, Anaïs Haget, Maria Boulougouri +3

Many machine learning models have been proposed to classify phenotypes from gene expression data. In addition to their good performance, these models can potentially provide some u…

q-bio.GN2023★ 2 cited

Studying Limits of Explainability by Integrated Gradients for Gene Expression Models

Myriam Bontonou, Anaïs Haget, Maria Boulougouri +3

Understanding the molecular processes that drive cellular life is a fundamental question in biological research. Ambitious programs have gathered a number of molecular datasets on…

cond-mat.mes-hall2011

Cooperativity in the annealing of DNA origamis

Jean-Michel Arbona, Jean-Pierre Aimé, Juan Elezgaray

DNA based nanostructures built on a long single stranded DNA scaffold, known as DNA origamis, offer the possibility to organize various molecules at the nanometer scale in one pot…