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-1.0.0.tar.gz (29.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

openpom-1.0.0-py3-none-any.whl (34.7 kB view details)

Uploaded Python 3

File details

Details for the file openpom-1.0.0.tar.gz.

File metadata

  • Download URL: openpom-1.0.0.tar.gz
  • Upload date:
  • Size: 29.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.18

File hashes

Hashes for openpom-1.0.0.tar.gz
Algorithm Hash digest
SHA256 f166ef9122b4180d420b356dcaae7d6fcc9c39ec85550b92c070483c07c4e200
MD5 1346200b44b419a44465c656ad7ab4c7
BLAKE2b-256 73dbeaab7a83625a591ebcaeceffbe671da4bd0e503767acca8aba4db585b428

See more details on using hashes here.

File details

Details for the file openpom-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: openpom-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 34.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.18

File hashes

Hashes for openpom-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9567d62cf49bb63b5e72f079cc42d9642c370c66a8bfa590d1a68d7ca3e8eb6a
MD5 b20c436ed4ff1b5b37e5cef7a60bd7ee
BLAKE2b-256 33cdfa7a2194d51b147b206f380b1841dae572f2b9ffdd8a99590659d3d569ba

See more details on using hashes here.

Supported by

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