LegNet: a best-in-class deep learning model for short DNA regulatory regions

MOTIVATION: The increasing volume of data from high-throughput experiments including parallel reporter assays facilitates the development of complex deep-learning approaches for modeling DNA regulatory grammar. RESULTS: Here, we introduce LegNet, an EfficientNetV2-inspired convolutional network for...

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Detalles Bibliográficos
Autores principales: Penzar, Dmitry, Nogina, Daria, Noskova, Elizaveta, Zinkevich, Arsenii, Meshcheryakov, Georgy, Lando, Andrey, Rafi, Abdul Muntakim, de Boer, Carl, Kulakovskiy, Ivan V
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400376/
https://www.ncbi.nlm.nih.gov/pubmed/37490428
http://dx.doi.org/10.1093/bioinformatics/btad457

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400376/
https://www.ncbi.nlm.nih.gov/pubmed/37490428
http://dx.doi.org/10.1093/bioinformatics/btad457

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