Statistical and machine learning methods for spatially resolved transcriptomics with histology

Recent developments in spatially resolved transcriptomics (SRT) technologies have enabled scientists to get an integrated understanding of cells in their morphological context. Applications of these technologies in diverse tissues and diseases have transformed our views of transcriptional complexity...

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Bibliographic Details

Published in:	Computational and Structural Biotechnology Journal
Main Authors:	Jian Hu, Amelia Schroeder, Kyle Coleman, Chixiang Chen, Benjamin J. Auerbach, Mingyao Li
Format:	Article
Language:	English
Published:	Elsevier 2021-01-01
Subjects:	Spatially resolved transcriptomics Spatial clustering Spatially variable genes Celltype deconvolution Cell-cell communications
Online Access:	http://www.sciencedirect.com/science/article/pii/S2001037021002907