DigiCosme Thematic School 2021 Graph as models in life sciences: Machine learning and integrative approaches - online - October 25th - 29th
We are organizing an online thematic school
in bioinformatics and machine learning. You can register and spread the news.
(free but mandatory, limited number of places for the tutorials)
Yann Ponty, DR CNRS, LIX
Ariane Migault, Chargée de communication du Labex DigiCosme
Burak Yelmen is joining the lab as a postdoctoral fellow to extend our previous work on creating realistic genomes based on generative neural networks (GANs and RBMs). Burak's salary is supported by ANR.
T Sanchez, J Cury, G Charpiat, F Jay (2020). Deep learning for population size history inference: design, comparison and combination with approximate Bayesian computation. Molecular Ecology Ressources DOI:10.1111/1755-0998.13224 Link
Pierre is also helping beta testing and improving our DNADNA software developed by the lab and in particular by Erik Madison Bray based on initial code by Théophile and Jean.
This is a joint project with Emilia Huerta-Sanchez (brown University, USA) and Maria Avila Arcos (UNAM, Mexico)
Joint work with Evelyne Heyer, Fréderic Austerlitz, Romain Laurent, Bruno Toupance from the Eco-anthropology department (MNHN). Funded by CNRS 80PRIME.