Linear correlation coefficients (r) were generated for each curve to determine the applicability of the data to the method of analysis.
Six drug concentrations were used covering the concentration effect. Linear correlation coefficients (r) were generated for each concentration response curve to determine the applicability of the data to the method of analysis.
It should allow for application of other computational methods to the data and application of other data to the computational methods.
Variability in input data to the scaling methods was considered negligible in comparison to the translational uncertainty.
Our data had 8 flies per genotype/environment/sex condition, which greatly magnified the sensitivity of our data to the normalization method chosen.
We present experiments with artificial data and real-world gene expression data to evaluate the method.
We have analysed the data according to the methods used for the joint analysis of 11 radon exposed miners' cohorts (BEIR, 1999).
TvD carried out experimental work, analysed the data, contributed to the method development, and drafted the manuscript.
We process the data sets according to the methods described previously for peak detection and apply the SVMRFE and GLGS algorithms to the detected peak spectra data.
