This study investigates via simulation the performance of seven segment retention criteria used with finite mixture regression models for normal data.
Standard ST-segment depression criterion (> 1 mm [0.1 mV]) or additional horizontal or down-sloping ST-segment depression at end exercise was used for assessment of the ECG.
For example, out of a maximum of 1,200 possible road segments (i.e., the number of segments CRUISER drove on at least once), 855 segments met these criteria for NO2 measurements, including 513 segments (60%) with measurements on ≥ 15 days, 624 (73%) that were 50 250 m in length, and 308 (36%) that were 50 100 m in length (the modal length for all segments).
(i) Fit an all-pole model to each 20?s segment (use Akiake Criteria [28] to decide on the right model order).
Each treatment option is evaluated to determine whether each session and overall procedure meets the treatment volume parameters and whether each segment meets HI criteria (≥1.2).
The statistical significance of the over/under-expression of each segment fulfilling the criteria to be tagged as over/under-expressed is displayed, and it is calculated as described in the "Statistical analysis" Methods section.
This segment meets all criteria that have been defined for RIDGES (regions of increased gene expression; [ 82]), i.e. highly transcribed, GC-rich and gene-rich sequences with short introns and a high content of Alu repeats.
Furthermore, for 8 of the 12 true positive predictions (75%), the reporter gene expression pattern we observed fits at least one high-scoring training set (fig. 5 c; if a segment meets the criteria of a candidate CRM as per a given model, the training set on which the model was built is called a "high-scoring training set" for that segment).
For the leukocytes, 2 out of 6 LPP segments satisfied these criteria; for the plasma gaps, there were 19 out of 21 capillary segments.
Basically, the genomic segmentation algorithm finds a segment according to three criteria: 1) neighboring regions have statistically significantly different average intensities (P ≥ 0.00001); 2) breakpoints (region boundaries) were chosen to give optimal statistical significance (smallest P-value); and 3) detected regions must contain a minimum of 15 probes.
