Biology
DUBStepR is a scalable correlation-based feature selection method for accurately clustering single-cell data
B. Ranjan, W. Sun, et al.
Discover DUBStepR, a groundbreaking feature selection algorithm that enhances the accuracy of single-cell data clustering by utilizing gene-gene correlations. This innovative research, conducted by renowned authors, outperforms existing methods and expertly deconvolves cell heterogeneity in rheumatoid arthritis patient data. Its scalability makes it an essential tool for analyzing large datasets across various data types.
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