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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Materias: | |
| 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 |