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This study focuses on inferring the topologies of GRNs from multiple time-course gene expression datasets based on an autoregressive model.
In contrast to simply analysing an individual experiment, it is statistically important to compile a compendium of six nucleosome positioning datasets based on an ensemble average.
Recently Mercaldo and colleagues published a approach to estimate the SE of predictive values for a case control approach [ 12].We compared the approach proposed by Mercaldo with five other approaches using simulated datasets based on an empirical published diagnostic study among patients suspected of deep venous thrombosis.
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An online outlier exploration platform, or in short, ONION [71], is proposed for modeling and exploring outliers in large datasets based on a distance-based approach.
MICE is a practical approach for imputing missing datasets based on a set of imputation models, given that there is one model for each variable with missing values.
The "Event-related potential datasets based on a three-stimulus-paradigm" package contains the datasets related to this article.
We simulated this collection of datasets based on a 37-taxon mammalian dataset with 447 genes studied in Song et al. (2012).
We created datasets based on a large, previously published diagnostic study on 2 different tests (D-dimer test and calf difference test) with a nested case control design.
We have proposed here a fraction model for assessing ncRNA content of sequence datasets based on a sensitive relative z-score for measuring the degree of sequence randomness.
Studies specifically utilising UNIMMAP benefit from and contribute to datasets based on a uniform and targeted intervention, facilitating the interpretation and reproducibility of their results.
We identified enriched GO terms from the three datasets based on a hypergeometric test with Benjamini and Hochberg multiple testing correction (Table 2).
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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