Fig. 5: Airborne pollens and fungi correlate with omics seasonal patterns.
From: Deep longitudinal multiomics profiling reveals two biological seasonal patterns in California
Correlation of (a) pollen counts (tree pollens, weed pollens, mold spores, grass pollens), and (b) airborne fungi with the two omics seasonal patterns. The heatmap shows cluster membership values (which are on a scale of 0 and 1) based on existing cluster centroids (omics pattern one is shown in green color and omics patterns two are shown in orange color). Seasonal patterns of tree pollens, weed pollens, mold spores and grass pollens are shown in (c) and seasonal patterns of specific airborne fungi are shown in (d). The Y-axis shows the days of the year and the X-axis shows normalized pollen counts or normalized airborne fungi counts. 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.
