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Single-cell RNA-seq clustering: datasets, models, and algorithms
Single-cell RNA sequencing (scRNA-seq) technologies allow numerous opportunities for revealing novel and potentially unexpected biological discoveries. scRNA-seq clustering helps elucidate cell-to-cell heterogeneity and uncover cell subgroups and cell dynamics at the group level. Two important aspec...
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| Pubblicato in: | RNA Biol |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Taylor & Francis
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7549635/ https://ncbi.nlm.nih.gov/pubmed/32116127 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/15476286.2020.1728961 |
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