An accessible, interactive GenePattern Notebook for analysis and exploration of single-cell transcriptomic data [version 2; peer review: 2 approved]

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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Bibliographic Details
Main Authors: Clarence K. Mah, Alexander T. Wenzel, Edwin F. Juarez, Thorin Tabor, Michael M. Reich, Jill P. Mesirov
Format: Article
Language:English
Published: F1000 Research Ltd 2019-05-01
Series:F1000Research
Online Access:https://f1000research.com/articles/7-1306/v2