Kernel-based testing for single-cell differential analysis
Abstract Single-cell technologies offer insights into molecular feature distributions, but comparing them poses challenges. We propose a kernel-testing framework for non-linear cell-wise distribution comparison, analyzing gene expression and epigenomic modifications. Our method allows feature-wise a...
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| Autori principali: | , , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BMC
2024-05-01
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| Serie: | Genome Biology |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1186/s13059-024-03255-1 |
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