SpatialMap: Spatial Mapping of Unmeasured Gene Expression Profiles in Spatial Transcriptomic Data Using Generalized Linear Spatial Models

SpatialMap: Spatial Mapping of Unmeasured Gene Expression Profiles in Spatial Transcriptomic Data Using Generalized Linear Spatial Models

Recent advances in various single-cell RNA sequencing (scRNA-seq) technologies have enabled profiling the gene expression level with the whole transcriptome at a single-cell resolution. However, it lacks the spatial context of tissues. The image-based transcriptomics in situ studies (e.g., MERFISH a...

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Bibliographic Details
Main Authors: Dalong Gao, Jin Ning, Gang Liu, Shiquan Sun, Xiaoqian Dang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Genetics
Subjects:
scRNA-seq
spatial transcriptomics
generalized linear spatial model
integrative analysis
penalized quasi-likelihood
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.893522/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2022.893522/full

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