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Targeting the Untargetable: Predicting Pramlintide Resist... | ResearchHub
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Targeting the Untargetable: Predicting Pramlintide Resistance Using a Neural Network Based Cellular Automata
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Authors
Eun-Jung Kim
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Eun-Jung Kim
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Eunjung Kim
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Chandler Gatenbee
Published
November 11, 2017
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Topics
Biology
Machine Learning
Computer Science
Medicine
Ecology
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DOI
10.1101/211383
License
CC-BY
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Supporters
Support the authors with ResearchCoin
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Topics
Biology
Machine Learning
Computer Science
Medicine
Ecology
Show all topics
DOI
10.1101/211383
License
CC-BY
Other Formats
PDF
