Modeling Spatial Correlation of Transcripts with Application to Developing Pancreas

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 expre...

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Detalles Bibliográficos
Autores principales: Liu, Ruishan, Mignardi, Marco, Jones, Robert, Enge, Martin, Kim, Seung K., Quake, Stephen R., Zou, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6447534/
https://www.ncbi.nlm.nih.gov/pubmed/30944357
http://dx.doi.org/10.1038/s41598-019-41951-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6447534/
https://www.ncbi.nlm.nih.gov/pubmed/30944357
http://dx.doi.org/10.1038/s41598-019-41951-2

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