Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 journals/bmcbi/EguchiOHKNHAK19
%A Eguchi, Ryohei
%A Ono, Naoaki
%A Hirai, Aki
%A Katsuragi, Tetsuo
%A Nakamura, Satoshi
%A Huang, Ming
%A Altaf-Ul-Amin, Md.
%A Kanaya, Shigehiko
%D 2019
%J BMC Bioinformatics
%K dblp
%N 1
%P 380:1-380:13
%T Classification of alkaloids according to the starting substances of their biosynthetic pathways using graph convolutional neural networks.
%U http://dblp.uni-trier.de/db/journals/bmcbi/bmcbi20.html#EguchiOHKNHAK19
%V 20
@article{journals/bmcbi/EguchiOHKNHAK19,
added-at = {2019-12-27T00:00:00.000+0100},
author = {Eguchi, Ryohei and Ono, Naoaki and Hirai, Aki and Katsuragi, Tetsuo and Nakamura, Satoshi and Huang, Ming and Altaf-Ul-Amin, Md. and Kanaya, Shigehiko},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2060cfae832c936ecca256d9368fbbb28/dblp},
ee = {https://doi.org/10.1186/s12859-019-2963-6},
interhash = {2da1932957833078d8b20218c4105596},
intrahash = {060cfae832c936ecca256d9368fbbb28},
journal = {BMC Bioinformatics},
keywords = {dblp},
number = 1,
pages = {380:1-380:13},
timestamp = {2020-01-09T07:36:17.000+0100},
title = {Classification of alkaloids according to the starting substances of their biosynthetic pathways using graph convolutional neural networks.},
url = {http://dblp.uni-trier.de/db/journals/bmcbi/bmcbi20.html#EguchiOHKNHAK19},
volume = 20,
year = 2019
}