Original paper
Pooling across cells to normalize single-cell RNA sequencing data with many zero counts
Abstract
Normalization of single-cell RNA sequencing data is necessary to eliminate cell-specific biases prior to downstream analyses. However, this is not straightforward for noisy single-cell data where many counts are zero. We present a novel approach where expression values are summed across pools of cells, and the summed values are used for normalization. Pool-based size factors are then deconvolved to yield cell-based factors. Our deconvolution...
Paper Details
Title
Pooling across cells to normalize single-cell RNA sequencing data with many zero counts
Published Date
Apr 27, 2016
Journal
Volume
17
Issue
1
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Notes
History