There are 1 repository under cell-type-identification topic.
Spatial-eXpression-R: Cell type identification (including cell type mixtures) and cell type-specific differential expression for spatial transcriptomics
Unbiased single-cell transcriptomic data cell type identification
SCISSORS builds upon the Louvain graph-based clustering in Seurat by optimizing parameter selection when reclustering cell groups, with an eye towards identifying rare cell types.
Supervised cell type identification for scATAC-seq data
High precision, marker-based, hierarchical cell-type annotation tool for single-cell RNA-seq data
MarkerCount is a python3 cell-type identification toolkit for single-cell RNA-Seq experiments.
R package to assign an initial bone-related cell type
Hierarchical and high-resolution cell-type identification for single-cell RNA-seq data based on ScType.