Environmental properties of cells improve machine learning-based phenotype recognition accuracy
Published 2018 View Full Article
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Title
Environmental properties of cells improve machine learning-based phenotype recognition accuracy
Authors
Keywords
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Journal
Scientific Reports
Volume 8, Issue 1, Pages -
Publisher
Springer Nature
Online
2018-06-28
DOI
10.1038/s41598-018-28482-y
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- (2012) R. Achanta et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
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