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Latent variable modelling and variational inference for scRNA-seq differential expression analysis

2019-07-30

Abstract excerpt

Disease profiling, treatment development, and the identification of new cell populations are some of the most relevant applications relying on differentially expressed genes (DEG) analysis. In this context, three leading technologies emerged; namely, DNA microarrays, bulk RNA sequencing (RNA-seq), and single-cell RNA sequencing (scRNA-seq), the main focus of this work. Although scRNA-seq tends to offer more accura...

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Literature Corpus work
f8890615-a680-5680-8b82-39c55e879f0f
DOI
10.1101/719856
Open publication

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Latent variable modelling and variational inference for scRNA-seq differential expression analysisDOI 10.1101/719856
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