Package: NeuCA 1.13.0
Hao Feng
NeuCA: NEUral network-based single-Cell Annotation tool
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.
Authors:
NeuCA_1.13.0.tar.gz
NeuCA_1.13.0.zip(r-4.5)NeuCA_1.13.0.zip(r-4.4)NeuCA_1.13.0.zip(r-4.3)
NeuCA_1.13.0.tgz(r-4.5-any)NeuCA_1.13.0.tgz(r-4.4-any)NeuCA_1.13.0.tgz(r-4.3-any)
NeuCA_1.13.0.tar.gz(r-4.5-noble)NeuCA_1.13.0.tar.gz(r-4.4-noble)
NeuCA_1.13.0.tgz(r-4.4-emscripten)NeuCA_1.13.0.tgz(r-4.3-emscripten)
NeuCA.pdf |NeuCA.html✨
NeuCA/json (API)
| # Install 'NeuCA' in R: |
| install.packages('NeuCA', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- Baron_counts - Single-cell RNA-seq example dataset: Baron data
- Baron_true_cell_label - Single-cell RNA-seq example dataset: Baron data
- Seg_counts - Single-cell RNA-seq example dataset: Seg data
- Seg_true_cell_label - Single-cell RNA-seq example dataset: Seg data
On BioConductor:NeuCA-1.13.0(bioc 3.21)NeuCA-1.12.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
singlecellsoftwareclassificationneuralnetworkrnaseqtranscriptomicsdatarepresentationtranscriptionsequencingpreprocessinggeneexpressiondataimport
Last updated 4 months agofrom:a59dea20f1. Checks:8 ERROR. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | FAIL | Jan 30 2025 |
| R-4.5-win | ERROR | Jan 30 2025 |
| R-4.5-mac | ERROR | Jan 30 2025 |
| R-4.5-linux | ERROR | Jan 30 2025 |
| R-4.4-win | ERROR | Jan 30 2025 |
| R-4.4-mac | ERROR | Jan 30 2025 |
| R-4.3-win | ERROR | Jan 30 2025 |
| R-4.3-mac | ERROR | Jan 30 2025 |
Exports:NeuCA
Dependencies:abindaskpassbackportsbase64encBiobaseBiocGenericsbslibcachemclassclicolorspaceconfigcpp11crayoncurlDelayedArraydigeste1071evaluatefarverfastmapfontawesomefsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesglueherehighrhtmltoolshttrIRangesjquerylibjsonlitekableExtrakerasknitrlabelinglatticelifecyclelimmamagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemimemunsellopensslpngprocessxproxypsR6rappdirsRColorBrewerRcppRcppTOMLreticulaterlangrmarkdownrprojrootrstudioapiS4ArraysS4VectorssassscalesSingleCellExperimentSparseArraystatmodstringistringrSummarizedExperimentsvglitesyssystemfontstensorflowtfautographtfrunstidyselecttinytexUCSC.utilsvctrsviridisLitewhiskerwithrxfunxml2XVectoryamlzeallot
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Single-cell RNA-seq example dataset: Baron data | Baron_counts Baron_true_cell_label |
| A NEUral-network based Cell Annotation (NeuCA) tool for cell type annotation using single-cell RNA-seq data. | NeuCA |
| Single-cell RNA-seq example dataset: Seg data | Seg_counts Seg_true_cell_label |