Modeling Spatial Correlation of Transcripts With Application to Developing Pancreas

Abstract excerpt

Recently high-throughput image-based transcriptomic methods were developed and enabled researchers to spatially resolve gene expression variation at the molecular level for the first time. In this work, we develop a general analysis tool to quantitatively study the spatial correlations of gene expression in fixed tissue sections. As an illustration, we analyze the spatial distribution of single mRNA molecules meas...

Topics

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• Cytomegalovirus and herpesvirus research
• Gene Expression Profiling
• Molecular Biology Techniques and Applications
• Phenotype
• Pregnancy and preeclampsia studies
• Technology
• Transcriptome
• Transplantation: Methods and Outcomes

Identifiers and source

Literature Corpus work

84cba8cb-037e-5508-a3b6-ef1335b88bf2

DOI

10.1101/391433