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We applied two different methods to help identify sets of SNPs correlated to metabolite levels: one using direct two-way classification based on combination of genotypes at selected loci, and another based on leave-one-out-cross-validation analysis.
The initial structure of proposed model is based on combination of two models, the Flory–Huggins model and one of the local composition models, None Random Two Liquid (NRTL).
This technique is based on combination of ultraviolet (UV) illumination and low-energy electron irradiation.
Methods which are based on combination of ANOVA and PCA will be given main attention.
This implies a correction of previous regional kinematic models based on combination of GPS vectors.
In the next section we will show three concrete examples based on combination of primary and secondary masks developed earlier.
Few biological control formulations based on combination of two or more BCAs are available in the market.
The proposed mechanism is based on combination of binary particle swarm optimization (BPSO) algorithm and discrete dipole approximation (DDA) method.
New efficient two-step method based on combination of 6-th moment minimization and straightforward numerical minimization is developed.
This approach is specially based on combination of real stress histories, sequential law and fully known Wöhler curve.
Classification of the speech signal based on combination of LNBNN and SIFT features gives better results than a combination of LNBNN and other features.
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