ACTINN (Automated Cell Type Identification using Neural Networks) is a tool to identify cell types in sing-cell RNA-seq data. The ACTINN algorithm uses a neural network with three hidden layers. The publication describes the training on mouse cell type atlas (Tabula Muris Atlas) and a human immune cell dataset, and the results of prediction of cell types for mouse leukocytes, human PBMCs and human T cell subtypes.
Gene expression; RNA-seq; Molecular interactions, pathways and networks
Ma F, Pellegrini M "ACTINN: Automated Identification of Cell Types in Single Cell RNA Sequencing." Bioinformatics. 2019 Jul 29 https://doi.org/10.1093/bioinformatics/btz592
PMID: 31359028
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