Trade-off between conservation of biological variation and batch effect removal in deep generative modeling for single-cell transcriptomics

BACKGROUND: Single-cell RNA sequencing (scRNA-seq) technology has contributed significantly to diverse research areas in biology, from cancer to development. Since scRNA-seq data is high-dimensional, a common strategy is to learn low-dimensional latent representations better to understand overall st...

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Detalles Bibliográficos
Autores principales: Li, Hui, McCarthy, Davis J., Shim, Heejung, Wei, Susan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9635149/
https://www.ncbi.nlm.nih.gov/pubmed/36329399
http://dx.doi.org/10.1186/s12859-022-05003-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9635149/
https://www.ncbi.nlm.nih.gov/pubmed/36329399
http://dx.doi.org/10.1186/s12859-022-05003-3

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