Identifying Differentially Expressed Genes of Zero Inflated Single Cell RNA Sequencing Data Using Mixed Model Score Tests
نویسندگان
چکیده
منابع مشابه
A deep generative model for single-cell RNA sequencing with application to detecting differentially expressed genes
Single-cell RNA sequencing (scRNA-Seq) is a revolutionary technology, which allows studying fundamental biological questions that were previously out of reach [1, 2]. It allows, for the first time, to reveal a cell’s identity and characterize its molecular circuitry in an unbiased, data-driven way. The product of a scRNA-Seq experiment is a data matrix X where entry Xng approximates the number ...
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RNA-sequencing (RNA-seq) technology has become a major choice in detecting differentially expressed genes across different biological conditions. Although microarray technology is used for the same purpose, statistical methods available for identifying differential expression for microarray data are generally not readily applicable to the analysis of RNA-seq data, as RNA-seq data comprise discr...
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ژورنال
عنوان ژورنال: Frontiers in Genetics
سال: 2021
ISSN: 1664-8021
DOI: 10.3389/fgene.2021.616686