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These problems have been extensively examined, and may be related to the methodology and quality of datasets used [5], [6], [7], [8], [9], [10], [11].
However, these models were often limited in terms of applicability, prediction (class specific compounds and few numbers of compounds) and quality of datasets.
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As shown in Figure 3B, depending on the size and quality of the datasets, a varying number (0 ~ 231) of motifs were found in each dataset.
If data is to have meaningful impact, maintaining the continuity of time-series data and ensuring the consistency and quality of new datasets is key.
Moreover, the data validation which occurs during the processing stages helps ensure the accuracy and quality of the datasets.
The increased mass accuracy, dynamic range, speed and sensitivity of mass spectrometers is currently the driving force for the rapid expansion in the number and quality of proteomic datasets.
The result reflects that the relevancy and quality of training dataset determines the reliability and performance of output model.
Seven independent biological replicates were used for each sample ensuring robustness and quality of the dataset.
Further, the association performs regular reviews to ensure the accuracy and quality of the dataset.
Predicting the fault-proneness labels of software program modules is an emerging software quality assurance activity and the quality of datasets collected from previous software version affects the performance of fault prediction models.
The major strengths of this study is the size and quality of the linked datasets and because the linkage is of routine administrative databases there is no responder burden so responder bias is not a problem.
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