GTestimate: Improving relative gene expression estimation in scRNA-seq using the Good-Turing estimator
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ABSTRACT: Single-cell RNA-seq suffers from unwanted technical variation between cells, caused by its complex experiments and shallow sequencing depths. We present GTestimate a new normalization method based on the Good-Turing estimator, which improves upon conventional methods by accounting for unobserved genes. We validate GTestimate using new ultra-deep sequencing data, generated via a novel cell targeted PCR-amplification approach, and show substantial improvements in cell-cell distance estimation and downstream results.
ORGANISM(S): Homo sapiens
PROVIDER: GSE268930 | GEO | 2024/07/31
REPOSITORIES: GEO
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