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Detecting periodic patterns in unevenly spaced gene expression time series using Lomb-Scargle periodograms |
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1. Box plot of raw data in Bozdech "Complete" Dataset Also see notes about Bozdech03 Raw Data for a summary of the various datasets Bozdech used: Complete, Quality Control, Overview. Chart created as part of function ReadDataset in Bozdech03.R (called by LoadPlasmodiumData). |
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2. Extreme points rejected Obvious, single-point extreme points (> 3 standard deviations from the mean) were replaced with "missing values." Negative ratios were replaced with missing values. Because these extreme missing values were quite "high frequency" the Lomb-Scargle analysis was not sensitive to whether they were rejected or not. |
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3. Box plot of raw data after extreme points removed Function FixData in Bozdech03.R replaces extreme values with R's "na" and plots this chart. |
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4. Box plot of log2 of raw data. Function PlotLog2RatioBoxPlot in Bozdech03.R (called by ProcessBozdech03). |
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5. Frequency of missing values by time period Function ShowMissingValuesByTimePeriod in Bozdech03.R |
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6. Histogram shows number of oligos with various numbers of missing values Row summary of missing data. Function ShowMissingValueHistogramByOligo in Bozdech03.R. |
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7. "Image matrix" of "complete" dataset Note: white space shows locations of missing values in dataset. Two vertical lines are visible for the missing values for time periods 23 and 29. Function ShowLogRatioImage in Bozdech03.R. |
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Updated
22 Sept 2005