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scMC learns biological variation through the alignment of multiple single-cell genomics datasets
Distinguishing biological from technical variation is crucial when integrating and comparing single-cell genomics datasets across different experiments. Existing methods lack the capability in explicitly distinguishing these two variations, often leading to the removal of both variations. Here, we p...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7784288/ https://www.ncbi.nlm.nih.gov/pubmed/33397454 http://dx.doi.org/10.1186/s13059-020-02238-2 |