CcImpute: an accurate and scalable consensus clustering based algorithm to impute dropout events in the single-cell RNA-seq data.

ABSTRACT:

Background

In recent years, the introduction of single-cell RNA sequencing (scRNA-seq) has enabled the analysis of a cell's transcriptome at an unprecedented granularity and processing speed. The experimental outcome of applying this technology is a [Formula: see text] matrix containing aggregated mRNA expression counts of M genes and N cell samples. From this matrix, scientists can study how cell protein synthesis changes in response to various factors, for example, disease versus non-disease states in response to a treatment protocol. This technology's critical challenge is detecting and accurately recording lowly expressed genes. As a result, low expression levels tend to be missed and recorded as zero - an event known as dropout. This makes the lowly expressed genes indistingui

SUBMITTER: Malec M 

PROVIDER: S-EPMC9306045 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature