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DISC: a highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning

Dropouts distort gene expression and misclassify cell types in single-cell transcriptome. Although imputation may improve gene expression and downstream analysis to some degree, it also inevitably introduces false signals. We develop DISC, a novel deep learning network with semi-supervised learning...

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Bibliografiske detaljer
Udgivet i:Genome Biol
Main Authors: He, Yao, Yuan, Hao, Wu, Cheng, Xie, Zhi
Format: Artigo
Sprog:Inglês
Udgivet: BioMed Central 2020
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7353747/
https://ncbi.nlm.nih.gov/pubmed/32650816
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-020-02083-3
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