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Such sparse data can be analyzed using kernel-based methods.
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dRSA images were analyzed using model-based RSA.
Genotypes were analyzed using PCR-based methods as described below.
Compounds were analyzed using the cell-based assay described above.
Sequences were analyzed using an alignment-based approach.
Each dataset was analyzed using several likelihood-based phylogenetic methods.
Grain hardness, weight, moisture, and diameter of kernels were analyzed using the Single-Kernel Characterization System 4100 (Perten Instruments).
In addition to the theory, 20 kernels are analyzed using the measure of merit demonstrating the general usefulness of the measure of merit and the individual kernels.
Once constructed, the constraint-based model was analyzed using FBA.
This is commonly handled by using kernel-based methods, which allow one to perform classification implicitly in a reduced space.
These hazard functions are estimated from right-censored data using kernel-based methods with a global bandwidth selection algorithm and boundary kernel formulations [ 29].
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