BindVAE: Dirichlet variational autoencoders for de novo motif discovery from accessible chromatin

We present a novel unsupervised deep learning approach called BindVAE, based on Dirichlet variational autoencoders, for jointly decoding multiple TF binding signals from open chromatin regions. BindVAE can disentangle an input DNA sequence into distinct latent factors that encode cell-type specific...

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Detalles Bibliográficos
Autores principales: Kshirsagar, Meghana, Yuan, Han, Ferres, Juan Lavista, Leslie, Christina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9380350/
https://www.ncbi.nlm.nih.gov/pubmed/35971180
http://dx.doi.org/10.1186/s13059-022-02723-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9380350/
https://www.ncbi.nlm.nih.gov/pubmed/35971180
http://dx.doi.org/10.1186/s13059-022-02723-w

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