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Classification of low quality cells from single-cell RNA-seq data
Single-cell RNA sequencing (scRNA-seq) has broad applications across biomedical research. One of the key challenges is to ensure that only single, live cells are included in downstream analysis, as the inclusion of compromised cells inevitably affects data interpretation. Here, we present a generic...
Tallennettuna:
| Julkaisussa: | Genome Biol |
|---|---|
| Päätekijät: | , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2016
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4758103/ https://ncbi.nlm.nih.gov/pubmed/26887813 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-016-0888-1 |
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