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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...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | BMC Bioinformatics |
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| Κύριοι συγγραφείς: | , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
BioMed Central
2021
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| Θέματα: | |
| Διαθέσιμο Online: | 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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