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We present a psoriasis transcriptome from a group of 15 patients enrolled in a clinical study, and assessed its biological validity using a set of important pathways known to be involved in psoriasis.
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In this study, we applied an association rule mining approach to mine secondary phenotypes and computationally verify their biological validity using two automated and a limited manual evaluation.
Criterion validity was examined in terms of convergent validity using a generic measure and in terms of known groups validity using participants clinical data.
Study validity was determined using a 16-point pain validity scale [ 9].
The validity is illustrated using a numerical example.
Construct validity was established using a 'known-groups' design.
[ 24] Validity was determined using a known-groups comparison method.
To assess whether the secondary phenotypes possess biological validity, we first used only the primary annotations to predict disease gene candidates and then added the secondary phenotype annotations.
Objectives To evaluate the validity of food behavior items, using a biological measure (serum carotenoids) as the criterion for validity of fruit and vegetable intake, and the results from multiple 24-hour recalls to test convergent validity with nutrient intake.
Recent studies outlined the validity of NAA measurements in biological fluids, serum and cerebrospinal, using a gas-chromatography mass-spectrometry (gas-chromatography mass-spectrometrylogas-chromatography mass-spectrometry
Content validity was assessed using an expert panel.
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CEO of Professional Science Editing for Scientists @ prosciediting.com