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We used a KNIME node "Domain-Similarity" (Additional file 1: Figure S1) [88] 88] to analyze the AD of the models developed by the presented workflow.
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Hence, users can easily modify and further extend the presented workflow by domain-specific interests to add new features.
It is relevant to note that the presented workflow is entirely supported by free and open software and datasets.
The presented workflow goes from raw data quality control to the final variant report.
The presented workflow supports fully automated processing of LC ESI-HRMS data empLC ESI-HRMS polarity switching.
6 (element probability check) are also included in the presented workflow.
The by us presented workflow eliminates the uncertainty of which lymph node to pick for FNAC, as the probed lymph node had to be newly detected and suspicious (either by physical examination or sonography), possibly explaining the perfect sensitivity.
Under the unified environment for both physics and engineering design provided by CFETR integrated design platform, the present workflow will make the ramp up design more efficient.
The present workflow uses SOM-based methods to cluster and prioritize analytes of interest by similar expression profiles, in addition to data visualization as previously demonstrated.
The features of GensearchNGS are limited to those needed to perform the presented NGS diagnostics workflow.
The presented work extends the standard enrichment analysis workflow towards systems biology by refining the signature and integrating additional information.
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