Scripts developed to work with 10x Genomics sequencing results
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Updated
Sep 20, 2017 - R
Scripts developed to work with 10x Genomics sequencing results
Non-official Git repository for R package cellrangerRkit (currently not available elsewhere; I'm not affiliated with 10x)
R package: {rfca} Random forest-based cell annotation methods for scRNAseq analysis. {rfca} contains methods which identifies cell types using machine learning trained on a diversity of cell types, without the need for a labelled training dataset. It also allows you to train your own cell prediction models with your own labels (cell type, subtyp…
Analysis of subclonal copy number alterations (CNA) and loss of heterozygosity (LOH) in cancer
R script built on Seurat objects to analyze 10X single-cell expression data
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