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bioRxiv · 10.1101/825067

BlackSheep: A Bioconductor and Bioconda package for differential extreme value analysis

Blumenberg, L.·Kawaler, E.·Cornwell, M.·Smith, S.·Ruggles, K.·Fenyo, D.
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Abstract

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 non-parametric description and differential analysis of genome-wide data, available at https://github.com/ruggleslab/blackSheep. BlackSheep is a complementary tool to other differential expression analysis methods that may be underpowered when analyzing small subgroups in a larger cohort.

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Blumenberg, L., Kawaler, E., Cornwell, M., Smith, S., Ruggles, K., Fenyo, D.. 2019-10-31. BlackSheep: A Bioconductor and Bioconda package for differential extreme value analysis. https://doi.org/10.1101/825067

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