The assumption of the correctness of geometry based approaches in analysis of PPI network is that a pair of proteins will be assigned an interaction if they are close in an embedded space whereas NPPIs correspond to points that are further away in that space [1], [22].
Theoretical analysis assumes that bit stick-out is the best when the upper edge of the jet flow sprayed from the bit nozzle tip is internally tangent to the lower edge of surface conductor, based on which a formula to calculate the reasonable bit stick-out was derived, and the rationality of the theoretical assumption and correctness of calculation model were proved through field tests.
We denote the corresponding random variables U j A. The assumption is justified due to the Markov model and the correctness assumption of the anchors.
Because of the correctness assumption of the anchors, all pairs that are not part of the same anchor are non-homologous, and therefore, their covariance is zero, i.e. for l ≠ m, c o v (u j, l A (d j ), u k, m A (d k ) ) = 0 and we get (11) V j V k { ∑ l = 1 n A c o v (u j, l A (d j ), u k, l A (d k ) ) + ∑ l = 1 n j − n A ∑ m = 1 n k − n A c o v (u j, l N (d j ), u k, m N (d k ) ) }.
The third assumption (correctness of statistical decisions) can be justified by the relatively large sample size in GWAS dataset.
A parepeatic model defines the relationship between a central function and a fluctuation zone and identifies the degree of correctness of the relationship without making any statistical assumption.
In schools, appropriateness has replaced the principle of correctness.
This does provide a notion of correctness.
Section 5 presents the proof of correctness.
Proofs of correctness and completeness are included.
Of course, rationality is no guarantee of correctness.
