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Both datasets apply a study design that includes multiple doses and treatment durations across different assay systems.
Since no analytical expressions are available, we estimate the statistical power of our model with respect to a certain feature through repeated simulation: Given a fixed sample size and effect size, we generate M independent datasets, apply the above GLM with bootstrapping-based feature selection to each dataset, resulting in M different models, which might have selected different features.
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The same approximation used for processing the experimental datasets applies to simulation data, then the same assumptions are considered.
Moving forward, the co-founders tell us that they're also keen on integrating other datasets, applying SYMAN not only to Facebook, but to LinkedIn, Twitter, Pinterest, Quora, Github and others.
Indeed, we have validated the suggested method on several challenging datasets, applied it on a pedestrian and car detection, and tested it with different strategies.
In this paper, we provide an algorithm to create a synthetic measure of chronic psychosocial stress across multiple datasets, applying a consistent criterion that uses proxy indicators of stress components.
Previous studies in aging microarray datasets applied linear models in cross-sectional datasets [ 6, 7, 18].
The difference could be attributed to the assembly algorithm and transcriptome datasets applied.
In this validation step, the method is examined using the datasets applied to ComPhy.
In this publication, we introduce new computational tools to analyze gene patterning for three spatial dimension datasets, applied to early Drosophila embryos.
All of the datasets applied in this group of experiments have a total of 10 preset causal sites among the 1000 sites.
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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