Machines first, humans second: on the importance of algorithmic interpretation of open chemistry data
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Title
Machines first, humans second: on the importance of algorithmic interpretation of open chemistry data
Authors
Keywords
Cheminformatics, File formats, Open lab notebooks, Public data, Machine learning
Journal
Journal of Cheminformatics
Volume 7, Issue 1, Pages 9
Publisher
Springer Nature
Online
2015-03-21
DOI
10.1186/s13321-015-0057-7
References
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