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36t 36th Internation onal Con Conference on on Machine Learning DeepNose: Using artificial neural networks to represents the space of odorants Tumi Ngoc Tran, Daniel Kepple, Sergey Shuvaev, Alexei Koulakov Cold Spring Harbor Laboratory


  1. 36t 36th Internation onal Con Conference on on Machine Learning DeepNose: Using artificial neural networks to represents the space of odorants Tumi Ngoc Tran, Daniel Kepple, Sergey Shuvaev, Alexei Koulakov Cold Spring Harbor Laboratory

  2. Odorant Receptors (ORs) Molecules OR1 OR2 OR350

  3. Hypothesis: Odorant receptors are 3D molecular filters. Molecules ORs 1 2 … 350 Corollary: They can be ‘trained’ using neural network methods.

  4. DeepNose autoencoder

  5. DeepNose classifier

  6. Poster #249 Today at 6:30PM, Pacific Ballroom https://doi.org/10.1101/464735 CSHL is hiring people interested in applying ML to understand the brain (akula@cshl.edu)

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