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Section 4 details the criteria used for subsample selection and the results obtained.
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Each vertical series shows estimated λ's from one simulation: gray crosses show the distinct values of λ (i.e., ) estimated for, and used for selection in, subsamples by LLARRMA; black plus signs show the single λ chosen by oracle SS to be applied uniformly across all K subsamples.
Ampicillin was used for selection.
Additional file 4: Information for genomes used for read subsampling experiments.
Initially, this method divides the train set into ten subsamples arbitrarily, out of which nine subsamples are combinedly used for training and the remaining one subsample is taken for validation.
Each layer was subsampled: one subsample was used for microbial biomass and isotopic signature, the other was washed and the roots dried (48 h at 65 °C) and ground for 13C signature measurement.
It is important to distinguish between the subsample used for analysis and the sample used matching.
The subsample used for the analyses of the RGS SNPs contained 80% power to explain 3.6%and2.5%5% of the variance.
K − 1 subsamples are used as training test set, and a single subsample is used for validation.
Thus the cross-validation is repeated five times and each subsample is used for validation.
The remaining subsample was used for estimating performance.
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