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A regularized functional regression model enabling transcriptome-wide dosage-dependent association study of cancer drug response
View ORCID ProfileEvanthia Koukouli, View ORCID ProfileDennis Wang, Frank Dondelinger, View ORCID ProfileJuhyun Park
doi: https://doi.org/10.1101/2020.06.18.158907
Evanthia Koukouli
1Department of Mathematics and Statistics, Fylde College, Lancaster University, Bailrigg, Lancaster, UK
Dennis Wang
2Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
3Department of Computer Science, University of Sheffield, Sheffield, UK
Frank Dondelinger
4Centre for Health Informatics and Statistics, Lancaster Medical School, Lancaster University, Bailrigg, Lancaster, UK
Juhyun Park
1Department of Mathematics and Statistics, Fylde College, Lancaster University, Bailrigg, Lancaster, UK
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Posted June 18, 2020.
A regularized functional regression model enabling transcriptome-wide dosage-dependent association study of cancer drug response
Evanthia Koukouli, Dennis Wang, Frank Dondelinger, Juhyun Park
bioRxiv 2020.06.18.158907; doi: https://doi.org/10.1101/2020.06.18.158907
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