Preprints, Working Papers, ... Year : 2019

Creating Artificial Human Genomes Using Generative Models

Domains

Applications [stat.AP] Human genetics Populations and Evolution [q-bio.PE] Artificial Intelligence [cs.AI] Neural and Evolutionary Computing [cs.NE]
Fichier principal
Vignette du fichier
bioarxiv_769091v2.full.pdf (4.06 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Flora Jay  : Connect in order to contact the contributor

https://hal.science/hal-02413942

Submitted on : Monday, December 16, 2019-1:57:53 PM

Last modification on : Tuesday, February 13, 2024-3:38:17 AM

Long-term archiving on : Tuesday, March 17, 2020-5:50:08 PM

Download

Dates and versions

hal-02413942 , version 1 (16-12-2019)

Identifiers

Cite

Burak Yelmen, Aurelien Decelle, Linda Ongaro, Davide Marnetto, Francesco Montinaro, et al.. Creating Artificial Human Genomes Using Generative Models. 2019. ⟨hal-02413942⟩

Export

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

CNRS INRIA UMR8623 CENTRALESUPELEC INRIA2 LRI-AO LRI-BIOINFO UNIV-PARIS-SACLAY LISN GS-ENGINEERING GS-COMPUTER-SCIENCE LISN-BIOINFO LISN-AO
128 View
161 Download

Altmetric

Share

More