We reinterpret the wide range of removal intensities and frequencies in thinning trials as an experimental gradient of perturbation, and estimate resilience as the recovery rate after perturbation.
The computation of (4) results in the removal of intensity variations from the image, so that the RGB components of the image specify color only, and no luminance.
Lowess analysis was initially proposed for the removal of intensity-dependent effects of the log2 ratios in two-color microarray experiments [ 34].
An artificial neural network was developed for rough rice drying to predict six performance indices: energy consumption, kernel cracking, final moisture content, moisture removal rate, drying intensity and water mass removal rate.
This can occur due to local background intensity removal at the point of image processing [ 23].
Noise reduction, baseline removal and peak intensity extraction were performed by using modified Gaussians to fit the peaks.
Data were filtered out when the following criteria were satisfied: (I) removal of low intensity spots when F-B < M + 2 MAD, where M is the median of the negative control spots (blank or buffer spots); MAD is the median absolute deviation, (II) removal of saturated spots with very high intensity, and (III) removal of spots flagged by GenePix.
We selected capsules formed with EDTA at pH 4 for further study and confirmed colocalization of antigen and adjuvant in the capsule shell after core removal by pixel intensity analysis of confocal microscopy line scans.
DABG p-values could be useful in the detection and removal of low intensity signals which could produce misleading results when alternative splicing events are evaluated using the Splice Index, where signal intensity component is lost to remove the bias due to the presence of gene-level differential expression.
In dChip (Li and Wong, 2001), an outlier removal procedure removes probes with intensities which differ substantially from the remaining set of probes.
