Justine Labory

Accelerate the discovery of genetic variants in mitochondrial diseases with VIOLA: Variant PrIOritization using Latent space

VIOLA prioritizes pathogenic variants in mitochondrial diseases using a variational autoencoder and outlier detection, outperforming existing methods in a patient cohort.

Benchmarking feature selection and feature extraction methods to improve the performances of machine-learning algorithms for patient classification using metabolomics biomedical data.

This paper benchmarks feature selection and extraction methods to enhance machine-learning performance in patient classification using metabolomics data.