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. Author manuscript; available in PMC: 2022 Oct 9.
Published in final edited form as: Neuroinformatics. 2022 Jan 3;20(2):483–505. doi: 10.1007/s12021-021-09553-4

Fig. 7.

Fig. 7

Sample PheDAS of CPT records in DS vs. IDD subjects. (a) A binary feature matrix with ProCodes as columns and subjects as rows was constructed from the CPT event records mapped to ProCodes in pyProwasLookup. (b) Mass univariate logistic regression was performed across ProCodes in the feature matrix using pyProwas-Model; regression results are listed for the top 5 most significant ProCodes (p < < < 0.001 after Bonferroni multiple comparisons correction). (c) The Log Odds plot of top 18 most significant PheCodes (p < < < 0.001 after Bonferroni multiple comparisons correction) is shown, created via pyProwasPlot