Human Opinion Inspired Feature Selection Strategy for Predicting the Pleasantness of a Molecule
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-10-8237-5_19
Reference11 articles.
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2. Khan, R.M., Luk, C.-H., Flinker, A., Aggarwal, A., Lapid, H., Haddad, R., Sobel, N.: Predicting odor pleasantness from odorant structure: pleasantness as a reflection of the physical world. J. Neurosci. 27, 10015–10023 (2007)
3. Snitz, K., Yablonka, A., Weiss, T., Frumin, I., Khan, R.M., Sobel, N.: Predicting odor perceptual similarity from odor structure. PLoS Comput. Biol. 9, e1003184 (2013)
4. Kumar, R., Kaur, R., Auffarth, B., Bhondekar, A.P.: Understanding the odour spaces: a step towards solving olfactory stimulus-percept problem. PLoS ONE 10, e0141263 (2015)
5. Boyle, S.M., McInally, S., Ray, A.: Expanding the olfactory code by in silico decoding of odor-receptor chemical space. Elife 2, e01120 (2013)
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