Resources

Epigene Labs and Servier collaboration

March 2025

Epigene Labs

Epigene Labs announces multi-year expansion of collaboration with Servier

This partnership aims to accelerate and increase precision of Servier’s oncology clinical trials enabled by Epigene’s mCUBE platform.
BFM Business logo illustrating Epigene Labs’ interview about AI in healthcare on the Tech & Co show

News

October 2025

BFM Business

Epigene Labs CEO featured on BFM Business’ Tech & Co to discuss how AI is reshaping every industry

Epigene Labs White Paper – Bulk Transcriptomics Processing in Oncology

Blog

October 2025

Epigene Labs

Bulk transcriptomic processing white paper

Icon of a shield symbolizing secure health data and privacy protection

Blog

August 2025

Epigene Labs

ISO 27001 and HDS: How we built a security-first infrastructure for health data

Logo of JOBIM 2025 featuring Epigene Labs involvement in data engineering and open science

Blog

August 2025

Epigene Labs

Epigene Labs at JOBIM 2025: Data Engineering, Open Science and Scalable Tools in Action

InMoose logo – open-source bioinformatics environment for omics data analysis

Blog

August 2025

Epigene Labs

InMoose: the open-source Python tool for omics data analysis in bioinformatics

comparaison-inmoose-limma-edger-deseq2-pydeseq2-analyse-differentielle

Publications

June 2025

BMC Bioinformatics

Differential expression analysis with inmoose, the integrated multi-omic open-source environment in Python

inmoose-pca-batch-effect-correction-logfc-correlation

Publications

May 2025

Scientific Reports

Bridging the gap between R and Python in bulk transcriptomic data analysis with InMoose

Poster on a scalable bioinformatics platform for pan-cancer antigen-targeting therapy discovery

Publications

April 2025

AACR

Accelerating antigen-targeting therapy discovery with a scalable pan-cancer bioinformatics platform

Scientific poster on the evolving landscape of transcriptomics data presented at AACR

Publications

April 2025

AACR

The evolving landscape of cancer transcriptomics data

Poster on InMoose, an open source Python package for integrated multi-omic data analysis

Publications

April 2025

AACR

InMoose: the Integrated Open Source Python Package for Multi-omic Analyses

Poster on correcting scRNA-seq batch effects using an Empirical Bayes approach

Publications

April 2025

AACR

Empirical Bayesian batch effect correction for single-cell RNA-seq data

Poster at AACR on ML-based inference of clinical metadata from gene expression

Publications

April 2025

AACR

Machine-learning-based inference of clinical metadata from gene expression data

Artificial Intelligence Supporting Oncology

October 2019

Les Echos Entrepreneurs

Artificial intelligence startups supporting oncology (French read)

With 382,000 new cancer cases in France in 2018, this 21st-century scourge also creates opportunities for startups.
A machine learning-powered dashboard for the exploration of high-throughput transcriptomic datasets

February 2024

ESMO MAP

A machine learning-powered dashboard for the exploration of high-throughput transcriptomic datasets

We present a solution using a tagging approach to characterize GEO datasets, focusing on clinical metadata of sample transcriptomic profiles.
pyComBat Python tool for batch effects correction

Publications

December 2023

BMC Bioinformatics

pyComBat, a Python tool for batch effects correction in high-throughput molecular data using empirical Bayes methods

InMoose, an integrated open source Python package for multi-omic analyses

Publications

April 2023

AACR

Introducing InMoose, an integrated open source Python package for multi-omic analyses

Integrating transcriptomics and proteomics for the discovery of novel antigen targets

Publications

November 2022

ASH

Integrating transcriptomics and proteomics for the discovery of novel antigen targets on the surface of malignant plasma cells amenable to CAR-T cell approach in the treatment of RRMM patients

French Healthcare Days at J.P. Morgan

January 2025

Business France

French Healthcare Days at J.P. Morgan

January 13-15, 2025. San Francisco, CA.
BIO-Europe 2024

Events

November 2024

BIO-Europe

BIO-Europe 2024

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Epigene Labs White Paper – Bulk Transcriptomics Processing in Oncology

October 2025

Epigene Labs

Bulk transcriptomic processing white paper

Explore how Epigene Labs addresses the challenges of fragmented bulk transcriptomic data in oncology. Our white paper presents a scalable framework to process, harmonize, and analyze large datasets from GEO, GDC, and ArrayExpress, unlocking biomarker discovery, cross-study integration, and actionable insights for precision oncology.
Icon of a shield symbolizing secure health data and privacy protection

Blog

August 2025

Epigene Labs

ISO 27001 and HDS: How we built a security-first infrastructure for health data

Logo of JOBIM 2025 featuring Epigene Labs involvement in data engineering and open science

Blog

August 2025

Epigene Labs

Epigene Labs at JOBIM 2025: Data Engineering, Open Science and Scalable Tools in Action

InMoose logo – open-source bioinformatics environment for omics data analysis

Blog

August 2025

Epigene Labs

InMoose: the open-source Python tool for omics data analysis in bioinformatics