Realistic in silico generation and augmentation of single-cell RNA-seq data using generative adversarial networks

DSpace Repository

Realistic in silico generation and augmentation of single-cell RNA-seq data using generative adversarial networks

Author: Marouf, Mohamed; Machart, Pierre; Bansal, Vikas; Kilian, Christoph; Magruder, Daniel S.; Krebs, Christian F.; Bonn, Stefan
Tübinger Autor(en):
Bonn, Stefan
Published in: Nature Communications (2020), Bd. 11, Article 166
Verlagsangabe: Nature Publishing Group
Language: English
Full text: http://dx.doi.org/10.1038/s41467-019-14018-z
ISSN: 2041-1723
DDC Classifikation: 500 - Natural sciences and mathematics
Dokumentart: Article
Show full item record

This item appears in the following Collection(s)