Single-cell gene expression analysis reveals β-cell dysfunction and deficit mechanisms in type 2 diabetes

Background: Type 2 diabetes (T2D) is one of the most common chronic diseases. Studies on T2D are mainly built upon bulk-cell data analysis, which measures the average gene expression levels for a population of cells and cannot capture the inter-cell heterogeneity. The single-cell RNA-sequencing tech...

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Main Authors: Ma, Lichun, Zheng, Jie
其他作者: School of Computer Science and Engineering
格式: Article
語言:English
出版: 2019
主題:
在線閱讀:https://hdl.handle.net/10356/105665
http://hdl.handle.net/10220/48721
http://dx.doi.org/10.1186/s12859-018-2519-1
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