Gene

BaredSC: Bayesian approach to retrieve expression distribution of single-cell data

6 days ago   |   By Springer

Abstract
Background
The number of studies using single-cell RNA sequencing is constantly growing. This powerful technique provides a sampling of the whole transcriptome of a cell. However, sparsity of the data can be a major hurdle when studying the distribution of the expression of a specific gene or the correlation between the expressions of two genes.
Results
We show that the main technical noise associated with these scRNA-seq experiments is due to the sampling, i.e., Poisson noise. We present a new tool named baredSC, for Bayesian Approach to Retrieve Expression Distribution of...
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