scArchon: a scalable benchmarking framework for assessing single-cell perturbation models
Abstract Background The accurate prediction of cellular responses to perturbations, such as drug treatments, remains a pivotal challenge in single-cell transcriptomics. While numerous deep learning tools have been developed for this task, their systematic benchmarking across diverse datasets and per...
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| Principais autores: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2026-05-01
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| coleção: | Genome Biology |
| Acesso em linha: | https://doi.org/10.1186/s13059-026-04104-z |
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