Biochemistry, Genetics and Molecular Biology
3 years ago

New clustering method revolutionizes identification of cell types in tissues!

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Briefings in Bioinformatics
Consensus-based clustering of single cells by reconstructing cell-to-cell dissimilarity
Chunxiang Wang, Zengchao Mu, Chaozhou Mou, Hongyu Zheng, Juntao Liu

Paper Summary

A new method called SD-h was developed to group different types of cells in tissues using single-cell RNA sequencing data. By combining different ways to measure the distance between cells, SD-h improved the accuracy of clustering compared to other methods. This new approach was tested on nine datasets and outperformed existing algorithms.

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