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Improved detection of tumor suppressor events in single-cell RNA-Seq data
Tissue-specific transcription factors are frequently inactivated in cancer. To fully dissect the heterogeneity of such tumor suppressor events requires single-cell resolution, yet this is challenging because of the high dropout rate. Here we propose a simple yet effective computational strategy call...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7541488/ https://www.ncbi.nlm.nih.gov/pubmed/33083012 http://dx.doi.org/10.1038/s41525-020-00151-y |