Sentence examples for predictions we considered from inspiring English sources
In order to reduce the number of false positive predictions we considered only targets predicted by both algorithms, which resulted in about 110.000 miRNA-mRNA pairs.
From all predictions, we considered miRNA-transcript relationships that were predicted by a minimum of two different tools.
It should be noted that for enzymes that had multiple EC number predictions, we considered an identical match when any of the predicted EC numbers matched between the two annotations.
To verify the validity of our predictions, we considered the example case of miRNAs found to associate significantly with the hypoxia signatures considered.
Quality of binding site predictions: we considered the scoring methods employed by Targetscan due to their solid statistical approach [28].
(3) Quality of binding site predictions: we considered the scoring methods employed by Targetscan due to their solid statistical approach [28].
Since the various clustering approaches output different numbers of predictions, we consider only the top scoring predicted clusters with a cross-validation precision level greater than some threshold.
Rather than focus on creationism's failure as a scientific endeavor (its poor scientific reasoning, misrepresentation of evolutionary arguments, and lack of testable predictions), we consider how creationists' arguments promote misconceptions about the process and practice of science.
Taking into account the previous predictions, we consider the following variables to analyze the determinants of the choice of funding for banks attending to liquidity needs and growth opportunities: 1. Loans/Deposits is the ratio of the total balance of loans to the total balance of deposits of the bank.
To enable more informed integration of these predictions, we consider characteristics of individual microRNA prediction algorithms in detail, and summarize them in Table 2.
Because psortb, Proteome Analyst and the SVM-based methods have marked different methodological bases for generating predictions, we consider that the common hits represent robust information that could potentially be incorporated into multicomponent pipelines when 'unknown' or 'low-confidence' hits are obtained.
