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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Autori principali:	Jian Hu, Amelia Schroeder, Kyle Coleman, Chixiang Chen, Benjamin J. Auerbach, Mingyao Li
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	American Association for the Advancement of Science (AAAS) 2021-01-01
Serie:	Computational and Structural Biotechnology Journal
Soggetti:	Spatially resolved transcriptomics Spatial clustering Spatially variable genes Celltype deconvolution Cell-cell communications
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2001037021002907
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