Zobrazeno 1 - 1
of 1
pro vyhledávání: '"Anja Cathrin Gumpinger"'
Autor:
Simon Höllerer, Laetitia Papaxanthos, Anja Cathrin Gumpinger, Katrin Fischer, Christian Beisel, Karsten Borgwardt, Yaakov Benenson, Markus Jeschek
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-15 (2020)
Current methods to generate sequence-function data at large scale are either technically complex or limited to specific applications. Here the authors introduce DNA-based phenotypic recording to overcome these limitations and enable deep learning for
Externí odkaz:
https://doaj.org/article/5cdab11544394bd78e7fc3880bbaa8e2
