Predicting human olfactory perception from chemical features of odor molecules
By Andreas Keller, R. C. Gerkin, Yuanfang Guan, Amit Dhurandhar, Gábor Turu, B. Szalai, J. Mainland, Yusuke Ihara, Chung Wen Yu, Russell D. Wolfinger and 8 more. Science, 2017
307 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Cellular and Molecular Neuroscience, Sensory Systems
View Paper: https://www.semanticscholar.org/paper/1621f047aa04767b48cfc25cce02efac3b8bc1ef
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Amit Dhurandhar
- Vijay Iyengar
- Ronny Luss
- Karthikeyan Shanmugam
- Arnaud Van Looveren
- Xiao Ding
- Q. Liao
- Amir-Hossein Karimi
Citations in the corpus
- From Big Data to Precision Medicine (2019, unknown): “This innovative approach has facilitated not only broader access to key datasets but has also engaged the analytic community broadly with notable successes (41).”
- TIP: Typifying the Interpretability of Procedures (2017, methodology): “We evaluated our strategies on a recent publicly available olfaction dataset [29] which has hundreds of molecules and thousands of chemoinformatic features along with qualitative perceptions averaged across almost 50 individuals.”