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 |
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Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2019
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Subjects: | |
Online Access: | 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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Institution: | Nanyang Technological University |
Language: | English |
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