… normalization in semi-quantitative analysis of brain 18FDG PET: application to metabolic changes related to ageing in conventional and digital control databases
… appropriate region for intensity normalization in brain 18 … populations of healthy controls
who underwent conventional (n … reported for 120 distinct intensity normalizations (according to …
who underwent conventional (n … reported for 120 distinct intensity normalizations (according to …
[HTML][HTML] Intensity normalization methods in brain FDG-PET quantification
FJ López-González, J Silva-Rodríguez… - Neuroimage, 2020 - Elsevier
… After applying the PS method, all the hypometabolic voxels detected by a two-sample t-test
performed by SPM12 between each simulated study and the healthy control database were …
performed by SPM12 between each simulated study and the healthy control database were …
Effect of signal intensity normalization on the multivariate analysis of spectral data in complex 'real‐world'datasets
JR Beattie, JV Glenn, ME Boulton… - Journal of Raman …, 2009 - Wiley Online Library
… However, it is often the case that not all factors affecting radiation intensity can be controlled,
such … on the user’s knowledge, spectral databases and published spectra), judicious use of …
such … on the user’s knowledge, spectral databases and published spectra), judicious use of …
A reproducibility‐based evaluation procedure for quantifying the differences between MS/MS peak intensity normalization methods
S Degroeve, N Colaert, J Vandekerckhove… - …, 2011 - Wiley Online Library
… As these studies attempt to exploit the intensity information … peak intensity normalization.
We here describe a procedure for quantifying the efficiency of different published normalization …
We here describe a procedure for quantifying the efficiency of different published normalization …
Assessment of a novel multi-array normalization method based on spike-in control probes suitable for microRNA datasets with global decreases in expression
A Sewer, S Gubian, U Kogel, E Veljkovic, W Han… - BMC research …, 2014 - Springer
… The multi-array and intensity-dependent normalization … at high intensities where coverage
by the spike-in control probes can … and normalized intensities for the 10 spike-in control probe …
by the spike-in control probes can … and normalized intensities for the 10 spike-in control probe …
Comparison between Different Intensity Normalization Methods in 123I-Ioflupane Imaging for the Automatic Detection of Parkinsonism
… This N c = 94 controls and its hemisphere midplane reflected … subset of control images, N c
the number of control images, I … on the previously described database. The proposed methods …
the number of control images, I … on the previously described database. The proposed methods …
Influence of MRI acquisition protocols and image intensity normalization methods on texture classification
… S4: we normalized the image intensities between μ ± 3σ where μ … normalization removes
the dependency on shift of the mean value and on multiplicative change in the image intensity. …
the dependency on shift of the mean value and on multiplicative change in the image intensity. …
Quality assessment of tandem mass spectra based on cumulative intensity normalization
… One data set, from ISB protein mixture, was used as control data to … intensity normalization,
we performed a SEQUEST search on the ISB dataset twice against a human protein database …
we performed a SEQUEST search on the ISB dataset twice against a human protein database …
Data-driven identification of intensity normalization region based on longitudinal coherency of 18F-FDG metabolism in the healthy brain
H Zhang, P Wu, SI Ziegler, Y Guan, Y Wang, J Ge… - Neuroimage, 2017 - Elsevier
… data intensity normalization is usually applied to control for … difficult to determine a proper
intensity normalization region as a … to identify proper intensity normalization regions in order to …
intensity normalization region as a … to identify proper intensity normalization regions in order to …
Meffil: efficient normalization and analysis of very large DNA methylation datasets
… intensities for each sample. The summary consists of a control probe matrix and probe intensity
… , FN then proceeds to normalize intensity quantiles by removing control probe variation. …
… , FN then proceeds to normalize intensity quantiles by removing control probe variation. …
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