CRMnet: A deep learning model for predicting gene expression from large regulatory sequence datasets

Recent large datasets measuring the gene expression of millions of possible gene promoter sequences provide a resource to design and train optimized deep neural network architectures to predict expression from sequences. High predictive performance due to the modeling of dependencies within and betw...

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Detalles Bibliográficos
Autores principales: Ding, Ke, Dixit, Gunjan, Parker, Brian J., Wen, Jiayu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10043243/
https://www.ncbi.nlm.nih.gov/pubmed/36999047
http://dx.doi.org/10.3389/fdata.2023.1113402

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10043243/
https://www.ncbi.nlm.nih.gov/pubmed/36999047
http://dx.doi.org/10.3389/fdata.2023.1113402

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