Autoencoder-based cluster ensembles for single-cell RNA-seq data analysis

BACKGROUND: Single-cell RNA-sequencing (scRNA-seq) is a transformative technology, allowing global transcriptomes of individual cells to be profiled with high accuracy. An essential task in scRNA-seq data analysis is the identification of cell types from complex samples or tissues profiled in an exp...

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Bibliografiske detaljer
Udgivet i:BMC Bioinformatics
Main Authors: Geddes, Thomas A., Kim, Taiyun, Nan, Lihao, Burchfield, James G., Yang, Jean Y. H., Tao, Dacheng, Yang, Pengyi
Format: Artigo
Sprog:Inglês
Udgivet: BioMed Central 2019
Fag:
Research
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6929272/
https://ncbi.nlm.nih.gov/pubmed/31870278
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3179-5
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