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Tramline bruising is often presumed to be caused by blows with a linear implement and in children would be considered suggestive of maltreatment [1].
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Support vector regression (SVR, Vapnik [ 23]) uses linear models to implement non-linear regression by mapping the input space to a higher dimensional feature space using kernel functions.
The FDE considered in works such as [23, 31] and [32] are linear convolution implemented through the use of overlap save method.
Peak heights of [1-13C]acetate, [13C]ureandand [1-13C]pyruvate (hypexperimentd experiment only) were quantified for every MRSI voxel using a general linear model implemented in MATLAB (MathWorks, Natick, MA, USA).
These were analysed using a standard linear model implemented in R, with SNP coded as the expected minor allele count.
Statistical analysis was performed using the general linear model implemented in SPM2, with a separate regressor for each event type convolved with a canonical hemodynamic response function.
In this test we used support vector machine (SVM) with linear kernel implemented in the package libsvm and position-specific scoring matrix (PSSM) implemented according to the description in [7].
To allow for direct comparison of probe intensities across multiple arrays within the same platform we applied a locally weighted linear regression, implemented as R routine lowess [7], independently to each platform in order to normalize raw probe intensities.
BMI was analyzed using standard linear regression implemented in PLINK.
These SVs are then fitted as covariates in the linear models implemented to identify DMPs.
A standard statistical analysis was performed using the general linear model implemented in SPM5.
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