RNABIOCO . GITHUB . IO {
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Title:
Classifier for Single-cell RNA-seq Using Cell Clusters • clustifyr
Description:
Package designed to aid in classifying cells from single-cell RNA sequencing data using external reference data (e.g., bulk RNA-seq, scRNA-seq, microarray, gene lists). A variety of correlation based methods and gene list enrichment methods are provided to assist cell type assignment.
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12 years and 4 months (reg. 2013-03-08).
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Keywords {🔍}
mono, data, input, metadata, clustercol, seurat, object, reference, cell, type, singlecellexperiment, ssmall, features, rna, true, matrix, cbmcref, clustify, clustifyr, marker, pbmcmeta, counts, refmat, scesmall, rnasnnres, assay, objects, rnaseq, expression, pbmcmatrixsmall, cluster, classified, variable, fcgra, memory, naive, platelet, sce, column, class, ppbp, lyz, umap, clustifylists, clusters, singlecell, sets, gene, lists, genes,
Topics {✒️}
rna-seq expression data single-cell gene signatures calculate correlation coefficients pre-calculated projection handles identity assignment including tabula muris seurat objects based supplemental package clustifyrdatahub cell type inserted cluster information stored marker gene lists output option input data metadata data cell type contents clustifyr 1 rnabioco/clustifyr cell identities cd16+ mono seurat objects seurat object cd14+ mono bioconductor version reference matrix metadata = pbmc_meta$classified quietly = true seurat_out = true vec_out = true input = sce_small expression matrix ref_mat = cbmc_ref projection plot_best_call package developed rna data cor_mat = res input = s_small seurat_object = s_small marker genes marker = pbmc_markers clustered singlecellexperiment clusters clustifyr development version variable genes assign identities aaacatacaaccac aaacattgagctac cell_source sum seurat library 2000 variable features
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