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Data intensities were indexed and scaled with HKL2000[28].
The following quality criteria were applied to genes in the array data: intensities well above background, no non-uniformity outliers, and no missing data.
As one could anticipate, differences in the normalized data intensities were less obvious, in contrast to the variations in the raw signal intensities normally observed (and we also noted) in different experiments.
Data intensities were log transformed and normalized within and between arrays with the quantile normalization method, and two-tail, pair wise analysis or a two-way analysis of variance was employed by means of the Spotfire Decision Site software package 7.2 v10.0 (Spotfire Inc., MA, USA) to extract the statistically significant data from each group of worms indicated in this study.
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Soon, an attendant brought sandwiches and nonalcoholic drinks to passengers, "much like a flight attendant would on an airline," said Kevin S. Kennefick, chief executive of Data Intensity, a database business in Waltham, Mass., and a recent LimoLiner customer.
The huge resource pool on the Cloud forms an appropriate platform for running applications with both computing and data intensity, like the DNA sequencing workflows.
While the technique has been around for more than 20 years, wider access to compute power is finally a match for the data intensity it requires.
Microarray raw data intensity profiles were analyzed using GeneSpring 7 (Agilent technologies) to perform locally weighted scatter plot smoothing (LOWESS) normalization and statistical analysis.
The resulting normalized gene expression data (intensity values) were expressed in the log2 scale.
Due to non linearity of the data, intensity dependent Lowess normalization was applied.
A ridge based approach uses data intensity represented as ridges, that can be traversed to form a vessel tree [ 10].
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