Classification of low quality cells from single-cell RNA-seq data.
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ABSTRACT:
SUBMITTER: Ilicic T
PROVIDER: S-EPMC4758103 | biostudies-literature | 2016 Feb
REPOSITORIES: biostudies-literature
Publications
Classification of low quality cells from single-cell RNA-seq data.
Ilicic Tomislav T Kim Jong Kyoung JK Kolodziejczyk Aleksandra A AA Bagger Frederik Otzen FO McCarthy Davis James DJ Marioni John C JC Teichmann Sarah A SA
Genome biology 20160217
Single-cell RNA sequencing (scRNA-seq) has broad applications across biomedical research. One of the key challenges is to ensure that only single, live cells are included in downstream analysis, as the inclusion of compromised cells inevitably affects data interpretation. Here, we present a generic approach for processing scRNA-seq data and detecting low quality cells, using a curated set of over 20 biological and technical features. Our approach improves classification accuracy by over 30 % com ...[more]
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