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An accessible, interactive GenePattern Notebook for analysis and exploration of single-cell transcriptomic data

Single-cell RNA sequencing (scRNA-seq) has emerged as a popular method to profile gene expression at the resolution of individual cells. While there have been methods and software specifically developed to analyze scRNA-seq data, they are most accessible to users who program. We have created a scRNA...

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Detaylı Bibliyografya
Yayımlandı:F1000Res
Asıl Yazarlar: Mah, Clarence K., Wenzel, Alexander T., Juarez, Edwin F., Tabor, Thorin, Reich, Michael M., Mesirov, Jill P.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: F1000 Research Limited 2019
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC6611141/
https://ncbi.nlm.nih.gov/pubmed/31316748
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.12688/f1000research.15830.2
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