Similarity-assisted variational autoencoder for nonlinear dimension reduction with application to single-cell RNA sequencing data

BACKGROUND: Deep generative models naturally become nonlinear dimension reduction tools to visualize large-scale datasets such as single-cell RNA sequencing datasets for revealing latent grouping patterns or identifying outliers. The variational autoencoder (VAE) is a popular deep generative method...

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Detalles Bibliográficos
Autores principales: Kim, Gwangwoo, Chun, Hyonho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647110/
https://www.ncbi.nlm.nih.gov/pubmed/37964243
http://dx.doi.org/10.1186/s12859-023-05552-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647110/
https://www.ncbi.nlm.nih.gov/pubmed/37964243
http://dx.doi.org/10.1186/s12859-023-05552-1

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