h(odor): Interactive Discovery of Hypotheses on the Structure-Odor Relationship in Neuroscience

Abstract : From a molecule to the brain perception, olfaction is a complex phenomenon that remains to be fully understood in neuroscience. Latest studies reveal that the physico-chemical properties of volatile molecules can partly explain the odor perception. Neuroscientists are then looking for new hypotheses to guide their research: physico-chemical descriptors distinguishing a subset of perceived odors. To answer this problem, we present the platform h(odor) that implements descriptive rule discovery algorithms suited for this task. Most importantly, the ol-faction experts can interact with the discovery algorithm to guide the search in a huge description space w.r.t their non-formalized background knowledge thanks to an ergonomic user interface.
Complete list of metadatas

Cited literature [7 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01346679
Contributor : Guillaume Bosc <>
Submitted on : Tuesday, July 19, 2016 - 2:24:20 PM
Last modification on : Wednesday, November 20, 2019 - 3:22:40 AM

File

pkdd16.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01346679, version 1

Citation

Guillaume Bosc, Marc Plantevit, Jean-François Boulicaut, Moustafa Bensafi, Mehdi Kaytoue. h(odor): Interactive Discovery of Hypotheses on the Structure-Odor Relationship in Neuroscience. ECML/PKDD 2016 (Demo), Sep 2016, Riva del Garda, Italy. pp.17--21. ⟨hal-01346679⟩

Share

Metrics

Record views

255

Files downloads

380