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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Hlavní autoři:	Jian Hu, Amelia Schroeder, Kyle Coleman, Chixiang Chen, Benjamin J. Auerbach, Mingyao Li
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	American Association for the Advancement of Science (AAAS) 2021-01-01
Edice:	Computational and Structural Biotechnology Journal
Témata:	Spatially resolved transcriptomics Spatial clustering Spatially variable genes Celltype deconvolution Cell-cell communications
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2001037021002907
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