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However, this approach is limited to test an hypothesis of discrimination over the whole dataset under analysis.
We present an intelligent data mining architecture that incorporates both data-driven and goal-driven strategies and is able to accommodate the spatial and temporal elements of the dataset under analysis.
While most computational methods perform well under some circumstances, their behaviour can vary markedly depending on the dataset under analysis.
Our results suggest that the optimal choice of the algorithm depends heavily on the dataset under analysis.
In general, our results indicate that the optimal choice of the computational approach depends heavily on the dataset under analysis.
This example demonstrates how the differences in the peak identification algorithms may lead to a notably variable overall picture of the dataset under analysis, emphasizing the importance of careful assessment of the resulting peak lists.
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Other cutoffs may be used for the datasets under analysis depending on how strict a classification the user wants for their list of cancer drivers.
Moreover, the correlation grid was developed to help solve the following reverse problem: identification of the connection architecture between spike train generating units, which may produce a spike train dataset similar to the one under analysis.
We believe there is great potential in applying functional analysis to infer networks in large datasets under-utilized by experimenters in various fields.
After combining all 3 datasets and adjusting for all variables under analysis, the findings revealed that, on average, mothers who were employed had higher odds of cesarean delivery than unemployed mothers, and the cesarean delivery rate increased linearly with increasing wealth both indicators of better economic status.
Although these three files are enough to perform a complete statistical analysis of the dataset under study, the added value of T-REx is a fourth file, which allows focusing the analysis on one group or multiple groups of genes or RNAs (e.g., the regulons of CodY and CcpA in the example given below).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com