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Using this approach, we find three subtypes of breast cancer tissues which were validated in the training and validation datasets.
Finite element (FE) models were then established, which were validated through comparisons against the test results.
Numerical results, which were validated experimentally, were utilized to investigate the flow and the temperature fields.
The assay had high sensitivity and excellent reproducibility, which were validated in a pilot screen (Fig. S1A and S1B).
The statistically significant model was established on sixty five molecules, which were validated by a test set of ten molecules.
The performance curves of compressor and expander were obtained through simulation results, which were validated by experimental data.
The statistically significant model was established of 72 molecules, which were validated by a test set of six compounds.
The statistically significant model was established from 28 molecules, which were validated by evaluation of test set of nine compounds.
In this study, training data from one sensor array was used to formulate models which were validated with data from a second sensor array.
The simulations provided a thorough description of the complex flow pattern encountered close to the inlet section, which were validated for the laminar regime by dye injection.
The following cover classes were differentiated: tropical forest, secondary forest, agriculture, urban, and water polls, which were validated in the fields.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com