DeepNose: Using artificial neural networks to represents the space - PowerPoint PPT Presentation

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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

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
Odorant Receptors (ORs) Molecules OR1 OR2 OR350
Hypothesis: Odorant receptors are 3D molecular filters. Molecules ORs 1 2 … 350 Corollary: They can be ‘trained’ using neural network methods.
DeepNose autoencoder
DeepNose classifier
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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