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The proposed implementation of a feature selection routine using ReliefF showed to be successful in mapping accuracy across the structure activity landscape.
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The creep-fatigue model has also been successful in mapping damage and identifying critical damage locations in component as well as in the microstructure.
Although linkage studies have been successful in mapping a number of these key candidate genes [8], studies relying on linkage disequilibrium (LD) have grown in popularity because they can be more effective in detecting weaker associations from multiple common and low-penetrance alleles [13], [14].
Genome-wide linkage analysis is the traditional method to identify QTL and has been successful in mapping major QTL.
Classical forward genetic studies were successful in mapping mutations that affected a trait (e.g. radiation sensitivity).
Although neuroimaging studies have been successful in mapping functionally specialized cortical regions involved in language production, less is known about the integration of information across these multiple regions.
Neither of these strategies has been successful in mapping genes that control complex diseases, such as rheumatoid arthritis (RA), in humans.
Since inhibitor binding site competition analysis and mutant studies were successful in mapping AChE P-site components, a similar approach was made to probe the BuChE P-site.
All three genetic resources exist for diploid maize and sorghum bioenergy grasses and have been successful in mapping traits for years (see examples below).
We were successful in mapping 583 QTLs determined by analysing their physical position on 12 rice chromosomes based on the alignment of bordering genetic markers, which had sequences associated with them.
However, these studies have largely been successful in mapping trait/disease-associated SNPs that are common (with median risk allele frequency shown to be 36%) and having only modest effect sizes (median odds ratio OR 1.33) [ 25] that together only account for a small fraction of the total risk/variance of the diseases/traits [ 26].
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