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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Vydáno v:Genome Biol
Hlavní autoři: Wang, Tongxin, Johnson, Travis S., Shao, Wei, Lu, Zixiao, Helm, Bryan R., Zhang, Jie, Huang, Kun
Médium: Artigo
Jazyk:Inglês
Vydáno: BioMed Central 2019
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Method
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6691531/
https://ncbi.nlm.nih.gov/pubmed/31405383
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-019-1764-6
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