Package: scry 1.17.0

Kelly Street

scry: Small-Count Analysis Methods for High-Dimensional Data

Many modern biological datasets consist of small counts that are not well fit by standard linear-Gaussian methods such as principal component analysis. This package provides implementations of count-based feature selection and dimension reduction algorithms. These methods can be used to facilitate unsupervised analysis of any high-dimensional data such as single-cell RNA-seq.

Authors:Kelly Street [aut, cre], F. William Townes [aut, cph], Davide Risso [aut], Stephanie Hicks [aut]

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Peer review:

Bug tracker:https://github.com/kstreet13/scry/issues

On BioConductor:scry-1.17.0(bioc 3.20)scry-1.16.0(bioc 3.19)

bioconductor-package

3 exports 0.82 score 46 dependencies 1 mentions

Last updated 2 months agofrom:82669ca6ce

Exports:devianceFeatureSelectionGLMPCAnullResiduals

Dependencies:abindaskpassbeachmatBHBiobaseBiocGenericsBiocParallelBiocSingularcodetoolscpp11crayoncurlDelayedArrayformatRfutile.loggerfutile.optionsGenomeInfoDbGenomeInfoDbDataGenomicRangesglmpcahttrIRangesirlbajsonlitelambda.rlatticeMASSMatrixMatrixGenericsmatrixStatsmimeopensslR6RcpprsvdS4ArraysS4VectorsScaledMatrixSingleCellExperimentsnowSparseArraySummarizedExperimentsysUCSC.utilsXVectorzlibbioc