<p>Predicting olfactory perception from chemical structure</p>

Chung Wen Yu; Yusuke Ihara; Joel Mainland

doi:10.7490/f1000research.1111104.1

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Yu CW, Ihara Y and Mainland J. Predicting olfactory perception from chemical structure [version 1; not peer reviewed]. F1000Research 2015, 4:1391 (poster) (https://doi.org/10.7490/f1000research.1111104.1)

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Predicting olfactory perception from chemical structure

Chung Wen Yu, Yusuke Ihara, Joel Mainland ¹

Published 02 Dec 2015 (https://doi.org/10.7490/f1000research.1111104.1)

Author Affiliations

¹ Monell Chemical Senses Center, USA

Copyright © 2015 Yu CW et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 02 Dec 2015

Predicting olfactory perception from chemical structure
[version 1; not peer reviewed]

Chung Wen Yu, Yusuke Ihara, Joel Mainland ¹

Author Affiliations

¹ Monell Chemical Senses Center, USA

Presented at

8th Annual RECOMB/ISCB Conference on Regulatory and Systems Genomics, with DREAM Challenges 2015

Abstract

Competing Interests

A portion of this research was supported by Ajinomoto Co., Inc.

Keywords

olfaction, olfactory perception, QSAR, quantitative structure–activity relationship, machine learning, DREAM challenge, random forest, extremely randomized trees, fragrance, physicochemical features

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