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For simplicity and comparison with other special models, we refer this model as GPM-1.
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We tested the ability of a strawman SVM trained on sequence data (we refer to this model as "SVM"), a BN integrating the aforementioned features (Tables 2 and 3) excluding sequence features (we refer to this model as "BN"), and a complete model (henceforth "BN+SVM"; Figure 2), to classify proteins into stable and unstable classes.
(Astronomers refer to this model as "secular perturbation theory").
We will refer to this model as the "κ-hyperuniverse".
We refer to this model as the double-scaling model.
We will refer to this model as MSCHMM L s.
We will refer to this model as MSCHMM L m.
In this paper we refer to this model as the sinusoidal phase model.
We refer to this model as the CK model in this paper.
We will refer to this model in the following as the linear Wyner model.
We refer to this model as the Boundary Condition (BC) model (Fig. 3 a).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com