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BlackSheep: A Bioconductor and Bioconda Package for Differential Extreme Value Analysis.

Lili BlumenbergEmily A KawalerMacIntosh CornwellShaleigh SmithKelly V RugglesDavid Fenyo
Published in: Journal of proteome research (2021)
Unbiased assays such as shotgun proteomics and RNA-seq provide high-resolution molecular characterization of tumors. These assays measure molecules with highly varied distributions, making interpretation and hypothesis testing challenging. Samples with the most extreme measurements for a molecule can reveal the most interesting biological insights yet are often excluded from analysis. Furthermore, rare disease subtypes are, by definition, underrepresented in cancer cohorts. To provide a strategy for identifying molecules aberrantly enriched in small sample cohorts, we present BlackSheep, a package for nonparametric description and differential analysis of genome-wide data, available from Bioconductor (https://www.bioconductor.org/packages/release/bioc/html/blacksheepr.html) and Bioconda (https://bioconda.github.io/recipes/blksheep/README.html). BlackSheep is a complementary tool to other differential expression analysis methods, which is particularly useful when analyzing small subgroups in a larger cohort.
Keyphrases
  • rna seq
  • genome wide
  • single cell
  • high resolution
  • high throughput
  • mass spectrometry
  • dna methylation
  • climate change
  • gene expression
  • papillary thyroid
  • artificial intelligence
  • transcription factor
  • young adults