ScInfoVAE: interpretable dimensional reduction of single cell transcription data with variational autoencoders and extended mutual information regularization

Single-cell RNA-sequencing (scRNA-seq) data can serve as a good indicator of cell-to-cell heterogeneity and can aid in the study of cell growth by identifying cell types. Recently, advances in Variational Autoencoder (VAE) have demonstrated their ability to learn robust feature representations for s...

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Detalles Bibliográficos
Autores principales: Pan, Weiquan, Long, Faning, Pan, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257850/
https://www.ncbi.nlm.nih.gov/pubmed/37301826
http://dx.doi.org/10.1186/s13040-023-00333-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257850/
https://www.ncbi.nlm.nih.gov/pubmed/37301826
http://dx.doi.org/10.1186/s13040-023-00333-1

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