Figure 1 shows mean, spectra for each pathological group studied.
Mean spectra for each primary cancer group were made to illustrate the spectral variations.
Figure 2C and D show the mean spectra for the low mass region from both groups, derived from nine individual spectra from the supernatant fraction from untreated rats killed 24 days after implantation.
The top panels in Figure 2A C shows the mean spectra for the baseline and the post-onset transient sustained gamma activity for both conditions projected through the same (combined) spatial filter for three subjects (hemispheres 1,12,3, respectively).
PCA was performed on the mean spectra for all subcellular components identified by HCA of both control and erlotinib-treated cells, and the first three PCs generated denote the higher variances within the data set [ 58].
A mean spectrum of each sample spot was calculated for further analysis, thus three spectra per sample were available.
Our data preprocessing approach followed the Occam's razor principle, in which we deliberately used standard mathematical operators, i.e. mean and median, to compute average spectrum for all samples in the data sets.
The mean spectrum of the three corrected spectra is presented for each sample type.
