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Furthermore, none of our assumed models feature linear coupling between the internal cavity modes.
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Meanwhile, an analytical spring connected lumped mass model featuring a non-linear visco-elastic compressive property of the frontal spring has been developed for simulating impact.
The converted residuals are fitted to a 2° feature linear modeling.
The results of Mitsumori et al. (2006) are obtained by using their features in the same experimental settings of SVM that is used to test our own features (linear model, default parameters).
We examined differences among TNBC subtypes and between IBC (stage III, IV) and non-IBC (stage III, IV) at the GE level by using feature-by-feature linear mixture models followed by fitting a beta-uniform mixture (BUM) model to control for multiple testing.
The poor performance demonstrated that the linear model needs feature selection for good classification performance when the number of features is roughly the same as the number of samples in noisy data.
AgiMicroRna uses the linear model features implemented in the limma package [ 16] to fit a linear model to each microRNA, and thereby assesses the differential expression between different experimental conditions.
The AgiMicroRna package makes statistical inferences about differential expression by using the linear model features implemented in the limma package [ 16].
For identification of differentially expressed genes between the femAB+ backcross BB1305 and the wild type BB903, the linear modelling features of the "limma" R package version 2.9.1 were used [ 65].
AgiMicroRna uses the linear model features implemented in the limma package to assess the differential expression between different experimental conditions and provides links to the miRBase for those microRNAs that have been declared as significant in the statistical analysis.
In a skip-chain model, the linear features model the lower-order delays and the skip features model long-distant delays [ 3].
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