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The sequence alignment data were distributed into two components: residues with a conservation score of 0.9 1.0 were considered as conserved residues and regions containing 6 residues or longer, where more than 50% residues had conservation score of 0.9 1.0 were grouped as conserved regions.
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The non-overlapping data are distributed into fine-grained data packages and stored within a memory pool.
The data are distributed into geographical bins (Process. 5.1) corresponding to each spherical cap covering the Earth's surface and transformed into the cap's reference frame (Process 5.2).
The available data was distributed into three different sets for the training method, i.e., 70% for the training set, 15% for the validation set and remaining 15% for the test set.
Thus, important data was distributed into various unstructured storage locations in the database using terminology and styles that varied within and across the divisions.
All data were distributed normally.
All other data were distributed normally.
For the learning phase of the neural networks (see below), the contractions were distributed into learning data (257 contractions) and test data (139 contractions), to evaluate the performance of the defined networks in terms of generalization.
For this, we pick a certain number of classes to be created, and then the data are distributed equally between the classes resulting into equal numbers of grid cells in each class [9, 34].
The OTC market data is distributed widely through major market data distributors such as Bloomberg and Thomson Reuters".
The antibody results were distributed into quartiles.
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