Given a segmentation pattern, we evaluate each possible move and select the one that gives the greatest score improvement.
In order to assess whether MFH reclassification using our 170-gene predictor is tracking specific oncogenic pathway activation patterns, we evaluated the activation status of Src, Ras and PI3K pathways in the 30 MFH samples of the U133 datasets using the aforementioned gene expression "readouts".
To obtain further information about OsXYLP gene expression patterns, we evaluated publicly available resources such as microarray and massively parallel signature sequencing (MPSS) databases.
For analyses of diet patterns, we evaluated price differences for the extreme categories (eg, the top vs bottom quartile or quintile) of diet, to enable comparisons of the largest differences in diet quality.
For drinking patterns, we evaluated the association between frequency of drinking, as indicated by how many days alcohol was consumed in a typical week (0, 1-2, 3-4, 5-6, 7); heavy episodic drinking, as assessed by the largest number of alcoholic drinks consumed in one day in a typical month (0, 1-2, 3-5, ≥6); and risk of cancer.
To assess the biological significance of the identified patterns, we evaluate the extent to which these exon clusters represent functional modules, splicing modules, transcriptional regulatory modules, and protein complexes.
Comparing the pore-fluid pressure field in "Pore-fluid pressure field with the regional stress pattern" section with that in "FMT analysis considering estimation errors of the assumed stress pattern" section, we evaluated the level of pore-fluid pressure driving microseismic swarm activity.
However, our results on the association of O3 with tHcy did not show a consistent pattern when we evaluated postload tHcy levels and no significant associations were found when the 7-day average of O3 levels was used in the analyses.
We observed a variety of patterns when we evaluated six individual crops for childhood cancer risk (Table 5).
