Biology Reference
In-Depth Information
Exploratory hierarchical clustering analysis is conducted for classify-
ing samples across time points. A heat map (a color image of expression
level with two-way clustering dendrogram added) is also generated to
visualize the samples. The filtered gene lists were generated by selecting
genes that have the largest variation across samples across both time
points. The coefficient of variation (CV), computed as standard devia-
tion divided by the mean, is used as a measure of the magnitude of
variation. Three thresholds — CV
0.2 — were
used to generate three gene lists for clustering. The distance metric,
(1
>
0.1, CV
>
0.15, and CV
>
correlation), and Ward method were used in the calculation.
Taking the 12-hour time point data as an example, Fig. 4.1 shows a
bivariate fit of P190 by P210 with marked p -values of 0.9, 0.95, and 0.99.
Fig. 4.1.
Bivariate fit of P190 by P210 data.
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