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However, normalisation of the data to a common fibre volume fraction showed that better interlaminar shear strengths could be obtained using Quickstep.
The advantages of this approach include the following: modelling of non-linear behaviour; accommodation of imprecision in the normalisation of the data; aggregation without subjective allocation of weights to the indicators; ranking of alternatives in such a way that the output value can be treated as the health value or integrity index.
Additionally, after receiving the C N ratios of the samples (Table 1, 4 and 4) it was determined that the lipid content of the samples was low so no further normalisation of the data to account for the lipid affect was required.
Quantile normalisation of the data was done between arrays.
Log2 transformation and quantile normalisation of the data were performed across all sample groups.
After the normalisation of the data, however, no significant differences between groups were found.
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The selection of the optimal reference gene for the normalisation of this data is a recurring problem, and several algorithms have been developed in order to solve it.
*Initial normalisation of all the data included samples which were subsequently scored as deleted for a particular probe, leading to these control samples having an average value that is very slightly greater than 1.
After the experimental EPI runs, a high-resolution T1-weighted anatomical image was obtained for later normalisation of the EPI data into MNI space using a 3D-MPRAGE sequence (176 axial slices, TR = 2.25 s; TE = 3.03 ms, FoV = 256×256 mm2, flip angle = 9°, final voxel resolution: 1 mm×1 mm×1 mm).
Global normalisation of the resultant data was carried out using Excel 2004 (Microsoft, Redmond, WA, USA).
A cutoff P-value of <0.05 was used to narrow down the candidates after global normalisation of the raw data.
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CEO of Professional Science Editing for Scientists @ prosciediting.com