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In the second stage, we find the best subset of SNPs which is highly related to the outcome.
Several search techniques were used for finding best subset of SNPs in order to avoid evaluating each possible subset for each locus/trait pair.
Let X s be the best subset of SNPs, we collect all SNPs X j whose p-value is smaller than or equal to 0.05 as a result from the χ2 statistical test.
The SNPs identified by our algorithms form the best subset of SNPs which are also given by MDR after running for 10 minutes and above whereas our FSA takes only 5 minutes to find the best SNPs with an accuracy of 73.805 % [Please see Table 6] by employing linear SVM.
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GAs have been employed in searching for the best subset of single nucleotide polymorphisms (SNPs) associated with a phenotype, 5– 10 searching for the shortest route and multiple semishortest routes in one search, 11 and prediction of small molecule binding modes to macromolecules.
In this flowchart, S 0 represents the initial subset and S best represents the selected best subset of channels.
From this space of reduced dimension, we select the best subset of attributes.
We performed random sampling to find the best subset of reads for assembly.
Then the best subset of features is chosen to maximize the multiple linear regression output.
The software PartitionFinder (Lanfear et al. 2012) was used to determine the best subset of partitions.
A stepdown procedure was carried out to find the best subset of predictors.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com