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CHARTS: a web application for characterizing and comparing tumor subpopulations in publicly available single-cell RNA-seq data sets
BACKGROUND: Single-cell RNA-seq (scRNA-seq) enables the profiling of genome-wide gene expression at the single-cell level and in so doing facilitates insight into and information about cellular heterogeneity within a tissue. This is especially important in cancer, where tumor and tumor microenvironm...
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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
2021
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7903756/ https://ncbi.nlm.nih.gov/pubmed/33622236 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-04021-x |
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