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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...
Shranjeno v:
| izdano v: | Genome Biol |
|---|---|
| Main Authors: | , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
BioMed Central
2021
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7784288/ https://ncbi.nlm.nih.gov/pubmed/33397454 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-020-02238-2 |
| Oznake: |
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