Fig. 3: Clinical lab tests and meteorological data correlate with omics seasonal patterns.
From: Deep longitudinal multiomics profiling reveals two biological seasonal patterns in California
Correlation of (a) clinical lab tests and (b) meteorological measurements with the two omics seasonal patterns are shown. The heatmap shows cluster membership values (which are on a scale of 0 and 1) based on existing cluster centroids. Seasonal patterns of (c) meteorological measurements and (d) clinical lab tests are shown (omics pattern one is shown in green color and omics pattern two is shown in orange color). The X-axis shows the days of the year (1–365 days) and Y-axis show the normalized measurement values. The shaded area represents 95% confidence bounds computed as ±1.96 standard deviation of model coefficients. Standard deviations were derived from a maximum likelihood fit.
