FISHFactor: a probabilistic factor model for spatial transcriptomics data with subcellular resolution

MOTIVATION: Factor analysis is a widely used tool for unsupervised dimensionality reduction of high-throughput datasets in molecular biology, with recently proposed extensions designed specifically for spatial transcriptomics data. However, these methods expect (count) matrices as data input and are...

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Detalles Bibliográficos
Autores principales: Walter, Florin C, Stegle, Oliver, Velten, Britta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10176502/
https://www.ncbi.nlm.nih.gov/pubmed/37039825
http://dx.doi.org/10.1093/bioinformatics/btad183

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10176502/
https://www.ncbi.nlm.nih.gov/pubmed/37039825
http://dx.doi.org/10.1093/bioinformatics/btad183

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