Registration Open for Bioc2024 July 24-26


This is the development version of NeuCA; for the stable release version, see NeuCA.

NEUral network-based single-Cell Annotation tool

Bioconductor version: Development (3.20)

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")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

NeuCA Package User's Guide HTML R Script
Reference Manual PDF


biocViews Classification, DataImport, DataRepresentation, GeneExpression, NeuralNetwork, Preprocessing, RNASeq, Sequencing, SingleCell, Software, Transcription, Transcriptomics
Version 1.11.0
In Bioconductor since BioC 3.14 (R-4.1) (2.5 years)
License GPL-2
Depends R (>= 3.5.0), keras, limma, e1071, SingleCellExperiment, kableExtra
System Requirements
See More
Suggests BiocStyle, knitr, rmarkdown, networkD3
Linking To
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package NeuCA_1.11.0.tar.gz
Windows Binary
macOS Binary (x86_64) NeuCA_1.11.0.tgz
macOS Binary (arm64)
Source Repository git clone
Source Repository (Developer Access) git clone
Bioc Package Browser
Package Short Url
Package Downloads Report Download Stats