Selected article for: "forest analysis and random forest"

Title: 2015 ACVIM Forum Research Abstract Program
  • Document date: 2015_5_27
  • ID: 3pnuj5ru_360
    Snippet: Fecal samples were collected from dogs with histopathological evidence of gastrointestinal inflammation (n = 15) and from healthy control dogs (n = 15). The fecal metabolome, comprised of metabolic products of both the host and microbiota, was assessed using an untargeted approach combining LC-MS and GC-MS platforms. Random Forest Analysis was used to rank differentiating power of metabolites, and the Mann-Whitney Utest followed by the Benjamini-.....
    Document: Fecal samples were collected from dogs with histopathological evidence of gastrointestinal inflammation (n = 15) and from healthy control dogs (n = 15). The fecal metabolome, comprised of metabolic products of both the host and microbiota, was assessed using an untargeted approach combining LC-MS and GC-MS platforms. Random Forest Analysis was used to rank differentiating power of metabolites, and the Mann-Whitney Utest followed by the Benjamini-Hochberg adjustment of p-values for multiple comparisons was used to test for statistical significance (q < 0.05).

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