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Jeremy B. R. Hayter

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Journal Articles

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2021
[j1]
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  dblp key:
  - journals/bib/GaudeletDJSRLHV21
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  persistent URL:
  - https://dblp.org/rec/journals/bib/GaudeletDJSRLHV21
Thomas Gaudelet, Ben Day, Arian R. Jamasb, Jyothish Soman, Cristian Regep, Gertrude Liu, Jeremy B. R. Hayter, Richard Vickers, Charles Roberts, Jian Tang, David Roblin, Tom L. Blundell, Michael M. Bronstein, Jake P. Taylor-King:
Utilizing graph machine learning within drug discovery and development. Briefings Bioinform. 22(6) (2021)

Informal and Other Publications

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2022
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  dblp key:
  - journals/corr/abs-2202-04202
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Paul Bertin, Jarrid Rector-Brooks, Deepak Sharma, Thomas Gaudelet, Andrew Anighoro, Torsten Gross, Francisco Martinez-Pena, Eileen L. Tang, Suraj M. S, Cristian Regep, Jeremy B. R. Hayter, Maksym Korablyov, Nicholas Valiante, Almer van der Sloot, Mike Tyers, Charles Roberts, Michael M. Bronstein, Luke L. Lairson, Jake P. Taylor-King, Yoshua Bengio:
RECOVER: sequential model optimization platform for combination drug repurposing identifies novel synergistic compounds in vitro. CoRR abs/2202.04202 (2022)
2020
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  - journals/corr/abs-2012-05716
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  - https://dblp.org/rec/journals/corr/abs-2012-05716
Thomas Gaudelet, Ben Day, Arian R. Jamasb, Jyothish Soman, Cristian Regep, Gertrude Liu, Jeremy B. R. Hayter, Richard Vickers, Charles Roberts, Jian Tang, David Roblin, Tom L. Blundell, Michael M. Bronstein, Jake P. Taylor-King:
Utilising Graph Machine Learning within Drug Discovery and Development. CoRR abs/2012.05716 (2020)

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