Open Science

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Open code

Code repository associated with the FedECA article.

A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.

A Vision Transformer Large pretrained with Dinov2 self-supervised method on PANCAN-XL.

A self-supervised learning model for histopathology trained with iBOT.

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huggingface.co/owkin

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github.com/owkin

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AI moonshot to accelerate open science in Glioblastoma

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Multimodal prediction of metastatic relapse using federated deep learning in soft-tissue sarcoma with a complex genomic profile

Charles Maussion

Scientific Reports

Multiple instance learning with spatial transcriptomics for interpretable patient-level predictions: application in glioblastoma

Histology and spatial transcriptomic integration revealed infiltration zone with specific cell composition as a prognostic hotspot in glioblastoma

OwkinZero: Accelerating Biological Discovery with AI

Towards Comprehensive Cellular Characterisation of H&E slides

Benjamin Adjadj

FedECA: federated external control arms for causal inference with time-to-event data in distributed settings

Quentin Klopfenstein

Nature Communications

Clinical Validation of RlapsRisk BC in an international multi-cohorts setting

Joint probabilistic modeling of pseudobulk and single-cell transcriptomics enables accurate estimation of cell type composition

Robust sensitivity control in digital pathology via tile score distribution matching

Predicting gene essentiality and drug response from perturbation screens in preclinical cancer models with LEAP: Layered Ensemble of Autoencoders and Predictors

Barbara Bodinier

Distilling foundation models for robust and efficient models in digital pathology

Alexandre Filiot

FedPyDESeq2: a federated framework for bulk RNA-seq differential expression analysis