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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2023
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| Materias: | |
| 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 |