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Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient

Harikumar, H, Quinn, Thomas, Rana, S, Gupta, S and Venkatesh, S 2019, Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient, BioData Mining, vol. 14, pp. 1-15, doi: 10.1101/837807.

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Title Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient
Author(s) Harikumar, H
Quinn, ThomasORCID iD for Quinn, Thomas orcid.org/0000-0003-0286-6329
Rana, S
Gupta, S
Venkatesh, SORCID iD for Venkatesh, S orcid.org/0000-0001-8675-6631
Journal name BioData Mining
Volume number 14
Article ID 37
Start page 1
End page 15
Total pages 15
Publisher BMC
Place of publication London Eng.
Publication date 2019
Language eng
DOI 10.1101/837807
Indigenous content off
HERDC Research category C2 Other contribution to refereed journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30150571

Document type: Journal Article
Collections: Open Access Collection
A2I2 (Applied Artificial Intelligence Institute)
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.