Package: SC3 1.35.0
SC3: Single-Cell Consensus Clustering
A tool for unsupervised clustering and analysis of single cell RNA-Seq data.
Authors:
SC3_1.35.0.tar.gz
SC3_1.35.0.zip(r-4.5)SC3_1.35.0.zip(r-4.4)SC3_1.35.0.zip(r-4.3)
SC3_1.35.0.tgz(r-4.4-x86_64)SC3_1.35.0.tgz(r-4.4-arm64)SC3_1.35.0.tgz(r-4.3-x86_64)SC3_1.35.0.tgz(r-4.3-arm64)
SC3_1.35.0.tar.gz(r-4.5-noble)SC3_1.35.0.tar.gz(r-4.4-noble)
SC3_1.35.0.tgz(r-4.4-emscripten)SC3_1.35.0.tgz(r-4.3-emscripten)
SC3.pdf |SC3.html✨
SC3/json (API)
NEWS
# Install 'SC3' in R: |
install.packages('SC3', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hemberg-lab/sc3/issues
On BioConductor:SC3-1.35.0(bioc 3.21)SC3-1.34.0(bioc 3.20)
immunooncologysinglecellsoftwareclassificationclusteringdimensionreductionsupportvectormachinernaseqvisualizationtranscriptomicsdatarepresentationguidifferentialexpressiontranscriptionbioconductor-packagehuman-cell-atlassingle-cell-rna-seqopenblascpp
Last updated 2 months agofrom:9b5ac20f8a. Checks:OK: 1 NOTE: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 25 2024 |
R-4.5-win-x86_64 | NOTE | Nov 25 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 25 2024 |
R-4.4-win-x86_64 | NOTE | Nov 25 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 25 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 25 2024 |
R-4.3-win-x86_64 | NOTE | Nov 25 2024 |
R-4.3-mac-x86_64 | NOTE | Nov 25 2024 |
R-4.3-mac-aarch64 | NOTE | Nov 25 2024 |
Exports:consensus_matrixget_de_genesget_marker_genesget_outl_cellsget_processed_datasetnorm_laplacianreindex_clusterssc3sc3_calc_biologysc3_calc_consenssc3_calc_distssc3_calc_transfssc3_estimate_ksc3_export_results_xlssc3_interactivesc3_kmeanssc3_plot_cluster_stabilitysc3_plot_consensussc3_plot_de_genessc3_plot_expressionsc3_plot_markerssc3_plot_silhouettesc3_preparesc3_run_svm
Dependencies:abindaskpassbase64encBiobaseBiocGenericsbitopsbslibcachemcaToolsclasscliclustercodetoolscolorspacecommonmarkcrayoncurlDelayedArrayDEoptimRdigestdoParalleldoRNGe1071fansifarverfastmapfontawesomeforeachfsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegplotsgtablegtoolshtmltoolshttpuvhttrIRangesisobanditeratorsjquerylibjsonliteKernSmoothlabelinglaterlatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimemunsellmvtnormnlmeopensslpcaPPpheatmappillarpkgconfigpromisesproxyR6rappdirsRColorBrewerRcppRcppArmadillorlangrngtoolsrobustbaseROCRrrcovS4ArraysS4VectorssassscalesshinySingleCellExperimentsourcetoolsSparseArraySummarizedExperimentsystibbleUCSC.utilsutf8vctrsviridisLitewithrWriteXLSxtableXVectorzlibbioc
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Cell type annotations for data extracted from a publication by Yan et al. | ann |
Calculate a distance matrix | calculate_distance |
Calculate the stability index of the obtained clusters when changing 'k' | calculate_stability |
Calculate consensus matrix | consensus_matrix |
Consensus matrix computation | consmx |
Compute Euclidean distance matrix by rows | ED1 |
Compute Euclidean distance matrix by columns | ED2 |
Estimate the optimal k for k-means clustering | estkTW |
Calculate the area under the ROC curve for a given gene. | get_auroc |
Wrapper for calculating biological properties | get_biolgy |
Find differentially expressed genes | get_de_genes |
Calculate marker genes | get_marker_genes |
Find cell outliers in each cluster. | get_outl_cells |
Get processed dataset used by 'SC3' clustering | get_processed_dataset |
Reorder and subset gene markers for plotting on a heatmap | markers_for_heatmap |
Graph Laplacian calculation | norm_laplacian |
Get differentiall expressed genes from an object of 'SingleCellExperiment' class | organise_de_genes |
Get marker genes from an object of 'SingleCellExperiment' class | organise_marker_genes |
A helper function for the SVM analysis | prepare_for_svm |
Reindex cluster labels in ascending order | reindex_clusters |
Run all steps of 'SC3' in one go | sc3 sc3,SingleCellExperiment-method sc3.SingleCellExperiment |
Calculate DE genes, marker genes and cell outliers. | sc3_calc_biology sc3_calc_biology, sc3_calc_biology,SingleCellExperiment-method sc3_calc_biology.SingleCellExperiment |
Calculate consensus matrix. | sc3_calc_consens sc3_calc_consens, sc3_calc_consens,SingleCellExperiment-method sc3_calc_consens.SingleCellExperiment |
Calculate distances between the cells. | sc3_calc_dists sc3_calc_dists, sc3_calc_dists,SingleCellExperiment-method sc3_calc_dists.SingleCellExperiment |
Calculate transformations of the distance matrices. | sc3_calc_transfs sc3_calc_transfs, sc3_calc_transfs,SingleCellExperiment-method sc3_calc_transfs.SingleCellExperiment |
Estimate the optimal number of cluster 'k' for a scRNA-Seq expression matrix | sc3_estimate_k sc3_estimate_k,SingleCellExperiment-method sc3_estimate_k.SingleCellExperiment |
Write 'SC3' results to Excel file | sc3_export_results_xls sc3_export_results_xls,SingleCellExperiment-method sc3_export_results_xls.SingleCellExperiment |
Opens 'SC3' results in an interactive session in a web browser. | sc3_interactive sc3_interactive, sc3_interactive,SingleCellExperiment-method sc3_interactive.SingleCellExperiment |
'kmeans' clustering of cells. | sc3_kmeans sc3_kmeans, sc3_kmeans,SingleCellExperiment-method sc3_kmeans.SingleCellExperiment |
Plot stability of the clusters | sc3_plot_cluster_stability sc3_plot_cluster_stability, sc3_plot_cluster_stability,SingleCellExperiment-method sc3_plot_cluster_stability.SingleCellExperiment |
Plot consensus matrix as a heatmap | sc3_plot_consensus sc3_plot_consensus, sc3_plot_consensus,SingleCellExperiment-method sc3_plot_consensus.SingleCellExperiment |
Plot expression of DE genes of the clusters identified by 'SC3' as a heatmap | sc3_plot_de_genes sc3_plot_de_genes, sc3_plot_de_genes,SingleCellExperiment-method sc3_plot_de_genes.SingleCellExperiment |
Plot expression matrix used for SC3 clustering as a heatmap | sc3_plot_expression sc3_plot_expression, sc3_plot_expression,SingleCellExperiment-method sc3_plot_expression.SingleCellExperiment |
Plot expression of marker genes identified by 'SC3' as a heatmap. | sc3_plot_markers sc3_plot_markers, sc3_plot_markers,SingleCellExperiment-method sc3_plot_markers.SingleCellExperiment |
Plot silhouette indexes of the cells | sc3_plot_silhouette sc3_plot_silhouette, sc3_plot_silhouette,SingleCellExperiment-method sc3_plot_silhouette.SingleCellExperiment |
Prepare the 'SingleCellExperiment' object for 'SC3' clustering. | sc3_prepare sc3_prepare,SingleCellExperiment-method sc3_prepare.SingleCellExperiment |
Run the hybrid 'SVM' approach. | sc3_run_svm sc3_run_svm, sc3_run_svm,SingleCellExperiment-method sc3_run_svm.SingleCellExperiment |
Run support vector machines ('SVM') prediction | support_vector_machines |
Matrix left-multiplied by its transpose | tmult |
Distance matrix transformation | transformation |
Single cell RNA-Seq data extracted from a publication by Yan et al. | yan |