Package: NeuCA
Type: Package
Title: NEUral network-based single-Cell Annotation tool
Version: 1.0.0
Date: 2021-04-15
Authors@R: c(person("Ziyi", "Li", role = "aut",
                     email = "ZLi16@mdanderson.org"),
              person("Hao", "Feng", role = c("aut", "cre"),
                     email = "hxf155@case.edu"))
Description: 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.
License: GPL-2
Depends: R(>= 3.5.0), keras, limma, e1071, SingleCellExperiment
Suggests: BiocStyle, knitr, rmarkdown, networkD3
Collate: functions_NN.R functions_mhNN.R utils.R
biocViews: SingleCell, Software, Classification, NeuralNetwork, RNASeq,
        Transcriptomics, DataRepresentation, Transcription, Sequencing,
        Preprocessing, GeneExpression, DataImport
Encoding: UTF-8
LazyData: false
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/NeuCA
git_branch: RELEASE_3_14
git_last_commit: 0bea933
git_last_commit_date: 2021-10-26
Date/Publication: 2021-10-26
NeedsCompilation: no
Packaged: 2021-10-26 22:03:35 UTC; biocbuild
Author: Ziyi Li [aut],
  Hao Feng [aut, cre]
Maintainer: Hao Feng <hxf155@case.edu>
Built: R 4.1.1; ; 2021-11-04 10:07:22 UTC; unix
