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The goal of the MN algorithm is to determine those network edges between pre-determined upstream regulators for which there is statistical evidence that the corresponding relationship is likely relevant for the causal mechanism behind the dataset.
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Behind the scene, the dataset is converted to a suitable R matrix object, and vectors are created based on sample groups, which can be used to create the design matrix.
But the dataset behind the high-level index is much more detailed, including information from the HIV prevalence rates to primary school drop-out rates.
Together, these steps helped us to better understand the generated pathway interaction networks and the biology behind the transcriptomics dataset.
Numbers in brackets behind "MRI" represent the resolution of the dataset.
The idea behind the model consists of spreading the dataset into cohesive term slices (clusters) to construct a defined structure.
"The dataset we used is open and available," says Etchells.
If so, the dataset used by the study could be flawed.
That weakens the dataset.
But the dataset Lloyd and Martin used was far from complete.
See the dataset itself for the full set of footnotes.
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CEO of Professional Science Editing for Scientists @ prosciediting.com