BASS: multi-scale and multi-sample analysis enables accurate cell type clustering and spatial domain detection in spatial transcriptomic studies

Spatial transcriptomic studies are reaching single-cell spatial resolution, with data often collected from multiple tissue sections. Here, we present a computational method, BASS, that enables multi-scale and multi-sample analysis for single-cell resolution spatial transcriptomics. BASS performs cel...

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Veröffentlicht in:	Genome Biology Jg. 23; H. 1; S. 168
Hauptverfasser:	Li, Zheng, Zhou, Xiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 04.08.2022 Springer Nature B.V BMC
Schlagworte:	Animal Genetics and Genomics Bayes Theorem Bayesian analysis Bayesian theory Bioinformatics Biomedical and Life Sciences Cell type Cluster Analysis Clustering analysis Computer applications cortex data collection Datasets domain Evolutionary Biology Gene expression genome Human Genetics Hypothalamus landscapes Life Sciences Localization Method Microbial Genetics and Genomics Multi-sample analysis Multi-scale analysis Performance evaluation Plant Genetics and Genomics Simulation Spatial discrimination Spatial domain Spatial transcriptomics Transcriptome Transcriptomics Bayesian hierarchical model BASS Multi-scale analysis Spatial domain Spatial transcriptomics Clustering analysis Tissue section Cell type Multi-sample analysis
ISSN:	1474-760X, 1474-7596, 1474-760X
Online-Zugang:	Volltext
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