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All analyses were performed using SAS version 9.2 software (SAS Institute, Cary, NC) and accounted for sample weights for complex sampling methods of datasets.
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In the Java code the text contents of a field can be requested by invocation of the instance method of dataset objects String metannogenDataset getField(String data_field_name).
The conventional methods of analyzing datasets by grouping and organizing related ions on a per sample basis fall short when faced with this level of data complexity [5 7].
We have also evaluated the performance of QED method on datasets used in this study, QED correctly classified 44.8% approved and 81.28% experimental drugs from the training dataset and 40% approved and 52.5% experimental drugs from the independent dataset.
Relying on big data technologies, we propose BIGBIOCL an algorithm that can apply supervised classification methods to datasets with hundreds of thousands of features.
Table 1 Summary of mean errors of both methods on both datasets Dataset Method Transl.err.err
Tuikkala et al. demonstrated that BPCA is the best imputation method on most of datasets [ 33], while de Brevern et al. indicated that KNN constitutes one efficient method for restoring the missing values with a low error level [ 10].
Hence, these methods use datasets of proteins of known structures to calculate conditional probabilities that certain residues or atoms will appear in different contexts.
Results show that clustering accuracy obtained is high and it outperforms other methods in the majority of datasets tested.
These differences highlight the fact that some care must be used when applying these methods to different kinds of datasets.
Estimated error rates are compared with previous methods based on overlap of datasets, including a recently available screen of yeast (Yu et al., 2008).
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