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For each staining, a different set of sections with several consecutive sections stained with Nissl at HBMU's laboratory was used.
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Each classifier is designed individually, i.e. uses different parameters and different set of input features (see Sections 2.5 and 2.6) computed from the IUPred, DISOclust and DISOPRED2 predictions, the sequence, the sequence profiles and the various relevant sequence-based predictions.
One of the possible extensions is to consider for each of the three measures in which our measure can be decomposed μ = μ a c + μ n s + μ p a (see Section 2) a different set of assumptions.
This leads to the postulation of a different set of semantic roles, Affector and Affectee, in the next section.
A different set of condition for elution of the TAP was changed as discussed in previous sections, viz.
It's a different set of skills.
We have a different set of problems.
It's a different set of strategies.
That's a different set of annoyances.
Section 2.1 surveys three of the most influential representation theorems, each of which relies on a different set of axioms.
Different device, different form factor, completely different set of uses.
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