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Gene Expression Association Statistics.

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posted on 2017-02-07, 18:36 authored by William Poole, Kalle Leinonen, Ilya Shmulevich, Theo A. Knijnenburg, Brady Bernard

A) The number of cluster features (meaning clusters in the context of a tumor type) analyzed for gene expression association broken down by tumor type and by clustering method. A single cluster can be analyzed multiple times if it is present with greater than 4 mutations in multiple tumor types. B) The number of cluster features with significant global gene expression associations (solid) and pathway gene expression associations (hatched). Two significance levels (1% is lighter colors and 10% darker colors) are shown for each method. Here a cluster feature with multiple associations is only counted once. C) The number of significant global gene expression associations found by each method at different significance levels (1% is lighter colors and 10% darker colors). Hatched bars indicate associations with lower P-values than the corresponding any non-synonymous feature for the same gene. Here cluster features with multiple associations are counted multiple times. D) Same as (C) but for pathway gene expression associations.

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