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CellTree: an R/bioconductor package to infer the hierarchical structure of cell populations from single-cell RNA-seq data
BACKGROUND: Single-cell RNA sequencing is fast becoming one the standard method for gene expression measurement, providing unique insights into cellular processes. A number of methods, based on general dimensionality reduction techniques, have been suggested to help infer and visualise the underlyin...
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| 出版年: | BMC Bioinformatics |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5020541/ https://ncbi.nlm.nih.gov/pubmed/27620863 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-1175-6 |
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