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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Detalhes bibliográficos

Principais autores:	Jian Hu, Amelia Schroeder, Kyle Coleman, Chixiang Chen, Benjamin J. Auerbach, Mingyao Li
Formato:	Artigo
Idioma:	Inglês
Publicado em:	American Association for the Advancement of Science (AAAS) 2021-01-01
coleção:	Computational and Structural Biotechnology Journal
Assuntos:	Spatially resolved transcriptomics Spatial clustering Spatially variable genes Celltype deconvolution Cell-cell communications
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2001037021002907
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