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A Bayesian Multivariate Mixture Model for Spatial Transcriptomics Data

2021-06-24

Abstract excerpt

High throughput spatial transcriptomics (HST) is a rapidly emerging class of experimental technologies that allow for profiling gene expression in tissue samples at or near single-cell resolution while retaining the spatial location of each sequencing unit within the tissue sample. Through analyzing HST data, we seek to identify sub-populations within a tissue sample that reflect distinct cell types or states. Exi...

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Literature Corpus work
98b15843-fb85-57c1-aa50-2b78ed56a754
DOI
10.1101/2021.06.23.449615
Open publication

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A Bayesian Multivariate Mixture Model for Spatial Transcriptomics DataDOI 10.1101/2021.06.23.449615
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