Loan Vulliard

mc-ASTRA maps population-level variation to interpretable multicellular tissue organization processes

mc-ASTRA integrates molecular, spatial, and sample-level data to create interpretable maps of tissue-state variability and multicellular processes.

A versatile information retrieval framework for evaluating profile strength and similarity

The paper introduces a statistical framework using mean average precision (mAP) to evaluate phenotypic activity and consistency in high-dimensional profiling data across various modalities and perturbation types.

Learning tissue representation by identification of persistent local patterns in spatial omics data

The paper introduces Kasumi, a method to identify persistent local patterns in spatial omics data for improved patient stratification in cancer.

BioProfiling.jl: Profiling biological perturbations with high-content imaging in single cells and heterogeneous populations

BioProfiling.jl provides a Julia package for morphological profiling of high-content imaging data, enabling analysis of cell state changes and integration with molecular target networks.

Assessment of community efforts to advance computational prediction of protein-protein interactions

The paper evaluates 24 network-based methods for predicting protein-protein interactions across five interactomes, identifies top-performing methods, and validates their predictions experimentally.