Impact of data preprocessing on cell-type clustering based on single-cell RNA-seq data
Abstract Background Advances in single-cell RNA-seq technology have led to great opportunities for the quantitative characterization of cell types, and many clustering algorithms have been developed based on single-cell gene expression. However, we found that different data preprocessing methods sho...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2020-10-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-020-03797-8 |