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A universal tool for predicting differentially active features in single-cell and spatial genomics data
With the growing complexity of single-cell and spatial genomics data, there is an increasing importance of unbiased and efficient exploratory data analysis tools. One common exploratory data analysis step is the prediction of genes with different levels of activity in a subset of cells or locations...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363154/ https://www.ncbi.nlm.nih.gov/pubmed/37481581 http://dx.doi.org/10.1038/s41598-023-38965-2 |