MultiDTI: drug-target interaction prediction based on multi-modal representation learning to bridge the gap between new chemical entities and known heterogeneous network.
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%0 Journal Article
%1 journals/bioinformatics/ZhouXLXP21
%A Zhou, Deshan
%A Xu, Zhijian
%A Li, Wentao
%A Xie, Xiaolan
%A Peng, Shaoliang
%D 2021
%J Bioinform.
%K dblp
%N 23
%P 4485-4492
%T MultiDTI: drug-target interaction prediction based on multi-modal representation learning to bridge the gap between new chemical entities and known heterogeneous network.
%U http://dblp.uni-trier.de/db/journals/bioinformatics/bioinformatics37.html#ZhouXLXP21
%V 37
@article{journals/bioinformatics/ZhouXLXP21,
added-at = {2022-06-23T00:00:00.000+0200},
author = {Zhou, Deshan and Xu, Zhijian and Li, Wentao and Xie, Xiaolan and Peng, Shaoliang},
biburl = {https://www.bibsonomy.org/bibtex/246ff54bf8023db29270ef3b4b457d315/dblp},
ee = {https://doi.org/10.1093/bioinformatics/btab473},
interhash = {4df8142026f1857423a308ec91fced6d},
intrahash = {46ff54bf8023db29270ef3b4b457d315},
journal = {Bioinform.},
keywords = {dblp},
number = 23,
pages = {4485-4492},
timestamp = {2024-04-08T20:42:34.000+0200},
title = {MultiDTI: drug-target interaction prediction based on multi-modal representation learning to bridge the gap between new chemical entities and known heterogeneous network.},
url = {http://dblp.uni-trier.de/db/journals/bioinformatics/bioinformatics37.html#ZhouXLXP21},
volume = 37,
year = 2021
}
