Package: HIPPO 1.19.0
HIPPO: Heterogeneity-Induced Pre-Processing tOol
For scRNA-seq data, it selects features and clusters the cells simultaneously for single-cell UMI data. It has a novel feature selection method using the zero inflation instead of gene variance, and computationally faster than other existing methods since it only relies on PCA+Kmeans rather than graph-clustering or consensus clustering.
Authors:
HIPPO_1.19.0.tar.gz
HIPPO_1.19.0.zip(r-4.5)HIPPO_1.19.0.zip(r-4.4)HIPPO_1.19.0.zip(r-4.3)
HIPPO_1.19.0.tgz(r-4.4-any)HIPPO_1.19.0.tgz(r-4.3-any)
HIPPO_1.19.0.tar.gz(r-4.5-noble)HIPPO_1.19.0.tar.gz(r-4.4-noble)
HIPPO_1.19.0.tgz(r-4.4-emscripten)HIPPO_1.19.0.tgz(r-4.3-emscripten)
HIPPO.pdf |HIPPO.html✨
HIPPO/json (API)
NEWS
# Install 'HIPPO' in R: |
install.packages('HIPPO', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tk382/hippo/issues
On BioConductor:HIPPO-1.19.0(bioc 3.21)HIPPO-1.18.0(bioc 3.20)
sequencingsinglecellgeneexpressiondifferentialexpressionclustering
Last updated 2 months agofrom:3720af6268. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 18 2024 |
R-4.5-win | NOTE | Dec 18 2024 |
R-4.5-linux | NOTE | Dec 18 2024 |
R-4.4-win | NOTE | Dec 18 2024 |
R-4.4-mac | NOTE | Dec 18 2024 |
R-4.3-win | NOTE | Dec 18 2024 |
R-4.3-mac | NOTE | Dec 18 2024 |
Exports:%>%get_data_from_sceget_hippoget_hippo_diffexphippohippo_diagnostic_plothippo_diffexphippo_dimension_reductionhippo_feature_heatmaphippo_pca_plothippo_tsne_plothippo_umap_plotnb_prob_zeropois_prob_zeropreprocess_heterogeneouspreprocess_homogeneouszero_proportion_plotzinb_prob_zero
Dependencies:abindaskpassBiobaseBiocGenericsclicolorspacecrayoncurlDelayedArraydplyrfansifarvergenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2ggrepelgluegridExtragtableherehttrIRangesirlbaisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmimemunsellnlmeopensslpillarpkgconfigplyrpngR6rappdirsRColorBrewerRcppRcppEigenRcppTOMLreshape2reticulaterlangrprojrootRSpectraRtsneS4ArraysS4VectorsscalesSingleCellExperimentSparseArraystringistringrSummarizedExperimentsystibbletidyselectUCSC.utilsumaputf8vctrsviridisLitewithrXVectorzlibbioc