Cell type identification from single-cell transcriptomes in melanoma

Abstract Background Single-cell sequencing approaches allow gene expression to be measured at the single-cell level, providing opportunities and challenges to study the aetiology of complex diseases, including cancer. Methods Based on single-cell gene and lncRNA expression levels, we proposed a comp...

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Bibliographic Details
Main Authors: Qiuyan Huo, Yu Yin, Fangfang Liu, Yuying Ma, Liming Wang, Guimin Qin
Format: article
Language:EN
Published: BMC 2021
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Online Access:https://doaj.org/article/376d7da8df7b4c7ba77f56a0d0d526ba
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