Data based predictive models for odor perception

Machine learning and data analytics are being increasingly used for quantitative structure property relation (QSPR) applications in the chemical domain where the traditional Edisonian approach towards knowledge-discovery have not been fruitful. The perception of odorant stimuli is one such applicati...

Descripción completa

Detalles Bibliográficos
Autores principales: Chacko, Rinu, Jain, Deepak, Patwardhan, Manasi, Puri, Abhishek, Karande, Shirish, Rai, Beena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7553929/
https://www.ncbi.nlm.nih.gov/pubmed/33051564
http://dx.doi.org/10.1038/s41598-020-73978-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7553929/
https://www.ncbi.nlm.nih.gov/pubmed/33051564
http://dx.doi.org/10.1038/s41598-020-73978-1

Ejemplares similares