TempoMAGE: a deep learning framework that exploits the causal dependency between time-series data to predict histone marks in open chromatin regions at time-points with missing ChIP-seq datasets. - Mohammad Hallal; Mariette Awad; Pierre H. Khoueiry (Bioinform., 2021)

FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings. - Jean Ogier du Terrail; Quentin Klopfenstein; Honghao Li; Imke Mayer; Nicolas Loiseau; Mohammad Hallal; Félix Balazard; Mathieu Andreux (CoRR, 2023)