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scMAGeCK links genotypes with multiple phenotypes in single-cell CRISPR screens
We present scMAGeCK, a computational framework to identify genomic elements associated with multiple expression-based phenotypes in CRISPR/Cas9 functional screening that uses single-cell RNA-seq as readout. scMAGeCK outperforms existing methods, identifies genes and enhancers with known and novel fu...
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| Udgivet i: | Genome Biol |
|---|---|
| Main Authors: | , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
BioMed Central
2020
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6979386/ https://ncbi.nlm.nih.gov/pubmed/31980032 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-020-1928-4 |
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