BERMUDA: a novel deep transfer learning method for single-cell RNA sequencing batch correction reveals hidden high-resolution cellular subtypes

To fully utilize the power of single-cell RNA sequencing (scRNA-seq) technologies for identifying cell lineages and bona fide transcriptional signals, it is necessary to combine data from multiple experiments. We present BERMUDA (Batch Effect ReMoval Using Deep Autoencoders), a novel transfer-learni...

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Detalles Bibliográficos
Autores principales: Wang, Tongxin, Johnson, Travis S., Shao, Wei, Lu, Zixiao, Helm, Bryan R., Zhang, Jie, Huang, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6691531/
https://www.ncbi.nlm.nih.gov/pubmed/31405383
http://dx.doi.org/10.1186/s13059-019-1764-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6691531/
https://www.ncbi.nlm.nih.gov/pubmed/31405383
http://dx.doi.org/10.1186/s13059-019-1764-6

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