In this paper, we present novel branch and bound (BAB) approaches for pairing selection using relative gain array and µ-interaction measure as the selection criteria to overcome this difficulty.
We experimented with two approaches for pairing the FPKMs estimated from the two sets of bootstrap samples.
By hybridizing genomic DNA to a custom oligonucleotide array designed for maximum gene coverage, we were able to identify polymorphisms using two approaches for pair-wise comparisons, as well as a highly parallel method that compared all 52 genotypes simultaneously.
We presented a distribution-based approach for gene pair classification by identifying a disease-specific cutoff point that classified the coexpressed gene pairs into strong and weak coexpression structures.
F. Wang et al. presented a distribution-based approach for gene pair classification by identifying a disease-specific cutoff point that classified the coexpressed gene pairs into strong and weak coexpression structures.
In contrast to a previous work, in this paper, we present a DJSC code design approach for a pair of correlated binary sources, in which the degree profile of a systematic irregular LDPC (SI-LDPC) code is optimized for the joint distribution of the two sources and the signal-to-noise ratio (SNR) of the GMAC.
In [19], a weak solution approach for the pair (omega x, t) := {g x, t); T_{0}(t)}) was given via a steepest descent method on minimizing the cost functional J omega)=bigl| mu_{T}(x -u x,T omega) bigr| ^{2}_{L^{2}[0,L_{1}]}.
In this paper a new multi-objective approach for loop pairing in multi-input/multi-output processes is studied.
The QuBiLs-MAS approach for atom-pair relations, in its diverse generalizations and extensions, seems to renew the prospect of achieving 2D-QSAR models with good predictive power.
From these analyses, it is revealed that the QuBiLS-MAS approach for atom-pair relations yields similar-to-superior performance with regard to other QSAR methodologies reported in the literature.
