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The latter consists of three steps: producing two rankings, one for the full term and one for the preterm neonates, of the channel combinations; selecting the channels that appear most often in the top channel combinations; and validating these selections with a cross validation methodology.
The algorithm is first validated on known protein-term associations by a 5-fold cross validation methodology.
Comparison of our neural network to models proposed in the recent literature as well as other statistical techniques using a 10-fold cross validation methodology shows that the neural networks do a much better job of predicting in this setting.
Given the small size of the data set (51 patients), we used the leave-one-out cross validation methodology, constructing logistic regression models to predict the grade of each patient, and training each model using the other patients.
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To assess overall model fit, the model was internally validated, using a cross-validation methodology.
From the methodological point of view, we used the "leave-one-out cross-validation" methodology to study how sensitive is the proposed method to detect known Wnt/β-catenin pathway target genes.
To select the optimal choice of the fictional size m given a sample of size n, we propose a nested cross-validation methodology.
To verify the accuracy of our method, we used a standard leaving-one-out cross-validation methodology [17], training on 32 times on each 31 week subset of the training data and testing on the remaining week.
All datasets were partitioned into training and test sets following the leave-one-out cross-validation methodology.
A cross-validation methodology was applied, where the maximum additive-genetic relationship (a max ) between bulls in training and validation was controlled.
To dichotomise prognostic variables, CD3, CD8, and CD45RO, a two-fold cross-validation methodology and a minimum P-value approach (Mazumdar et al, 2003) were used.
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