@EpigeneLabs

@EpigeneLabs has been a member of Linktree for 3 years and joined in November 2022. The social media accounts linked to from @EpigeneLabs are: • LinkedIn • Email • X Besides social media accounts, epigenelabs has populated their site with: • Welcome to the jungle • Download poster • Epigene Labs • 2025 - Epigene Labs announces a New Era in AI-Driven Omic Intelligence • American Society of Hematology • 2025 - Breakthrough expansion in AI-powered omic data curation: reaching 2 million cancer profiles • Eyquem Lab website • 2025 - Epigene Labs CEO featured on BFM Business's Tech & Co to dicscuss how AI is reshaping every industry • 2025 - Bulk transcriptomics processing white paper • 2025 - ISO 27001 and HDS: How we built a security-first infrastructure for health data • 2025 - Epigene Labs at JOBIM 2025: Data Engineering, Open Science and Scalable Tools in Action • 2025 - InMoose: the open-source Python environment for bioinformatics • 2025 - Differential expression analysis with inmoose, the integrated multi-omic open-source environment in Python • 2025 - Bridging the gap between R and Python in bulk transcriptomic data analysis with InMoose • 2025 - AACR - Accelerating antigen-targeting therapy discovery with a scalable pan-cancer bioinformatics platform • 2025 - AACR - The evolving landscape of transcriptomics data • 2025 - AACR - InMoose: the Integrated Open Source Python Package for Multi-omic Analyses • 2025 - AACR - Empirical Bayes Method for scRNA-Seq Batch Effects • 2025 - AACR - Machine-learning-based inference of clinical metadata from gene expression data • 2025 - Multi-year expansion of collaboration with Servier • 2025 - Le Point magazine unveils its 2025 inventors' rankings – the 100 inventions that will change our lives • 2024 - Bulk Transcriptomic Analysis with InMoose, the Integrated Multi-Omic Open-Source Environment in Python • 2024 - Differential Expression Analysis with InMoose, the Integrated Multi-Omic Open-Source Environment in Python • 2024 - ESMO MAP - Transforming public patient omic data into precision oncology targets: A comprehensive pan-cancer approach • 2024 - AACR - A scalable pan-cancer antigen target discovery platform for precision oncology • 2024 - AACR - From data disparity to data harmony: A comprehensive pan-cancer omic data collection • 2024 - ESMO - A machine learning-powered dashboard for the exploration of high-throughput transcriptomic datasets • 2023 - pyComBat, a Python tool for batch effects correction in high-throughput molecular data using empirical Bayes methods • 2023 - Epigene Labs: a future champion of precision oncology? • 2023 - AACR - Introducing InMoose: An Integrated Multi-omic Open Source Package for Python Analyses • 2023 - 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 • 2022 - Epigene Labs partners with Servier to launch a new application in the field of oncology • 2020 - STATION F unveils TOP30 2020, its group featuring the most advanced startups of the camp • 2020 - Epigene Labs and Institut Curie announce a partnership to improve ovarian cancer treatment • 2020 - Epigene Labs raises 1.4 million euros • 2020 - TICPharma, leading French-speaking healthcare and pharma news website, features Epigene Labs • 2019 - Why young scientists are taking the leap • 2019 - Artifical intelligence startups supporting oncology