Skip to main content

Open-source Principal Odor Map models for Olfaction

Project description

Open Principal Odor Map

https://github.com/ARY2260/openpom

Replication of the Principal Odor Map paper by Brian K. Lee et al. (2023). The model is implemented such that it integrates with DeepChem (https://github.com/deepchem/deepchem).

Contributors:

Aryan Amit Barsainyan, National Institute of Technology Karnataka, India: code, data cleaning, model development

Ritesh Kumar, CSIR-CSIO, Chandigarh, India: data cleaning, hyperparameter optimisation

Pinaki Saha, University of Hertfordshire, UK: discussions and feedback

Michael Schmuker, University of Hertfordshire, UK: conceptualisation, project lead

References:

A Principal Odor Map Unifies Diverse Tasks in Human Olfactory Perception.

Brian K. Lee, Emily J. Mayhew, Benjamin Sanchez-Lengeling, Jennifer N. Wei, Wesley W. Qian, Kelsie A. Little, Matthew Andres, Britney B. Nguyen, Theresa Moloy, Jacob Yasonik, Jane K. Parker, Richard C. Gerkin, Joel D. Mainland, Alexander B. Wiltschko

Science381,999-1006(2023).DOI: [10.1126/science.ade4401](https://doi.org/10.1126/science.ade4401) bioRxiv 2022.09.01.504602; doi: [https://doi.org/10.1101/2022.09.01.504602](https://doi.org/10.1101/2022.09.01.504602)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

openpom-0.2.2.tar.gz (28.5 kB view hashes)

Uploaded Source

Built Distribution

openpom-0.2.2-py3-none-any.whl (34.5 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page