NeuCA

DOI: 10.18129/B9.bioc.NeuCA    

NEUral network-based single-Cell Annotation tool

Bioconductor version: Release (3.14)

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 case.edu>

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

Installation

To install this package, start R (version "4.1") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("NeuCA")

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

Documentation

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

browseVignettes("NeuCA")

 

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

Details

biocViews Classification, DataImport, DataRepresentation, GeneExpression, NeuralNetwork, Preprocessing, RNASeq, Sequencing, SingleCell, Software, Transcription, Transcriptomics
Version 1.0.0
In Bioconductor since BioC 3.14 (R-4.1) (< 6 months)
License GPL-2
Depends R (>= 3.5.0), keras, limma, e1071, SingleCellExperiment
Imports
LinkingTo
Suggests BiocStyle, knitr, rmarkdown, networkD3
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package NeuCA_1.0.0.tar.gz
Windows Binary
macOS 10.13 (High Sierra) NeuCA_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/NeuCA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/NeuCA
Package Short Url https://bioconductor.org/packages/NeuCA/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.14 Source Archive

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: