Package: receptLoss 1.17.0

Daniel Pique

receptLoss: Unsupervised Identification of Genes with Expression Loss in Subsets of Tumors

receptLoss identifies genes whose expression is lost in subsets of tumors relative to normal tissue. It is particularly well-suited in cases where the number of normal tissue samples is small, as the distribution of gene expression in normal tissue samples is approximated by a Gaussian. Originally designed for identifying nuclear hormone receptor expression loss but can be applied transcriptome wide as well.

Authors:Daniel Pique, John Greally, Jessica Mar

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

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bioconductor-package

3 exports 0.82 score 61 dependencies 1 mentions

Last updated 2 months agofrom:1df9a05545

Exports:plotReceptLossreceptLosstoMatrix

Dependencies:abindaskpassBiobaseBiocGenericsclicolorspacecpp11crayoncurlDelayedArraydplyrfansifarvergenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegtablehttrIRangesisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmimemunsellnlmeopensslpillarpkgconfigpurrrR6RColorBrewerrlangS4ArraysS4VectorsscalesSparseArraystringistringrSummarizedExperimentsystibbletidyrtidyselectUCSC.utilsutf8vctrsviridisLitewithrXVectorzlibbioc