DOI: 10.18129/B9.bioc.NeuCA  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see NeuCA.

NEUral network-based single-Cell Annotation tool

Bioconductor version: 3.16

NeuCA is is a neural-network based method for scRNA-seq data annotation. It can automatically adjust its classification strategy depending on cell type correlations, to accurately annotate cell. NeuCA can automatically utilize the structure information of the cell types through a hierarchical tree to improve the annotation accuracy. It is especially helpful when the data contain closely correlated cell types.

Author: Ziyi Li [aut], Hao Feng [aut, cre]

Maintainer: Hao Feng <hxf155 at>

Citation (from within R, enter citation("NeuCA")):


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biocViews Classification, DataImport, DataRepresentation, GeneExpression, NeuralNetwork, Preprocessing, RNASeq, Sequencing, SingleCell, Software, Transcription, Transcriptomics
Version 1.4.0
In Bioconductor since BioC 3.14 (R-4.1) (1.5 years)
License GPL-2
Depends R (>= 3.5.0), keras, limma, e1071, SingleCellExperiment
Suggests BiocStyle, knitr, rmarkdown, networkD3
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