BREM-SC: a bayesian random effects mixture model for joint clustering single cell multi-omics data

Droplet-based single cell transcriptome sequencing (scRNA-seq) technology, largely represented by the 10× Genomics Chromium system, is able to measure the gene expression from tens of thousands of single cells simultaneously. More recently, coupled with the cutting-edge Cellular Indexing of Transcri...

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Bibliografiska uppgifter
I publikationen:Nucleic Acids Res
Huvudupphovsmän: Wang, Xinjun, Sun, Zhe, Zhang, Yanfu, Xu, Zhongli, Xin, Hongyi, Huang, Heng, Duerr, Richard H, Chen, Kong, Ding, Ying, Chen, Wei
Materialtyp: Artigo
Språk:Inglês
Publicerad: Oxford University Press 2020
Ämnen:
Computational Biology
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC7293045/
https://ncbi.nlm.nih.gov/pubmed/32379315
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gkaa314
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