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Modeling polypharmacy side effects with graph convolutional networks

Publication ,  Journal Article
Zitnik, M; Agrawal, M; Leskovec, J
Published in: Bioinformatics
July 1, 2018
Published version (DOI) Publisher Link

Duke Scholars

Monica Agrawal
Author Monica Agrawal Biostatistics & Bioinformatics, Division of Translational Bi ...
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Published In

Bioinformatics

DOI

10.1093/bioinformatics/bty294

EISSN

1367-4811

ISSN

1367-4803

Publication Date

July 1, 2018

Volume

34

Issue

13

Start / End Page

i457 / i466

Publisher

Oxford University Press (OUP)

Related Subject Headings

  • Bioinformatics
  • 49 Mathematical sciences
  • 46 Information and computing sciences
  • 31 Biological sciences
  • 08 Information and Computing Sciences
  • 06 Biological Sciences
  • 01 Mathematical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
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Zitnik, M., Agrawal, M., & Leskovec, J. (2018). Modeling polypharmacy side effects with graph convolutional networks. Bioinformatics, 34(13), i457–i466. https://doi.org/10.1093/bioinformatics/bty294
Zitnik, Marinka, Monica Agrawal, and Jure Leskovec. “Modeling polypharmacy side effects with graph convolutional networks.” Bioinformatics 34, no. 13 (July 1, 2018): i457–66. https://doi.org/10.1093/bioinformatics/bty294.
Zitnik M, Agrawal M, Leskovec J. Modeling polypharmacy side effects with graph convolutional networks. Bioinformatics. 2018 Jul 1;34(13):i457–66.
Zitnik, Marinka, et al. “Modeling polypharmacy side effects with graph convolutional networks.” Bioinformatics, vol. 34, no. 13, Oxford University Press (OUP), July 2018, pp. i457–66. Crossref, doi:10.1093/bioinformatics/bty294.
Zitnik M, Agrawal M, Leskovec J. Modeling polypharmacy side effects with graph convolutional networks. Bioinformatics. Oxford University Press (OUP); 2018 Jul 1;34(13):i457–i466.

Published In

Bioinformatics

DOI

10.1093/bioinformatics/bty294

EISSN

1367-4811

ISSN

1367-4803

Publication Date

July 1, 2018

Volume

34

Issue

13

Start / End Page

i457 / i466

Publisher

Oxford University Press (OUP)

Related Subject Headings

  • Bioinformatics
  • 49 Mathematical sciences
  • 46 Information and computing sciences
  • 31 Biological sciences
  • 08 Information and Computing Sciences
  • 06 Biological Sciences
  • 01 Mathematical Sciences