Interpreting machine learning models to investigate circadian regulation and facilitate exploration of clock function

The circadian clock is an important adaptation to life on Earth. Here, we use machine learning to predict complex, temporal, and circadian gene expression patterns in Arabidopsis. Most significantly, we classify circadian genes using DNA sequence features generated de novo from public, genomic resou...

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Detalles Bibliográficos
Autores principales: Gardiner, Laura-Jayne, Rusholme-Pilcher, Rachel, Colmer, Josh, Rees, Hannah, Crescente, Juan Manuel, Carrieri, Anna Paola, Duncan, Susan, Pyzer-Knapp, Edward O., Krishna, Ritesh, Hall, Anthony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2021
Materias:
Biological Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8364196/
https://www.ncbi.nlm.nih.gov/pubmed/34353905
http://dx.doi.org/10.1073/pnas.2103070118

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8364196/
https://www.ncbi.nlm.nih.gov/pubmed/34353905
http://dx.doi.org/10.1073/pnas.2103070118

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