Package: HIPPO 1.17.0
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_1.17.0.tar.gz
HIPPO_1.17.0.zip(r-4.5)HIPPO_1.17.0.zip(r-4.4)HIPPO_1.17.0.zip(r-4.3)
HIPPO_1.17.0.tgz(r-4.4-any)HIPPO_1.17.0.tgz(r-4.3-any)
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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-1.17.0(bioc 3.20)HIPPO-1.16.0(bioc 3.19)
Last updated 2 months agofrom:c9135a6917
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