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We used five HBRR datasets and five UHRR datasets for the comparison.
In each scenario, results from 10,000 simulated datasets for the comparison of the individual-level and summarized data methods are given.
A small number of genome-wide scale analyses focused on determining differences and similarities between mice and humans have been conducted, often relying on a limited number of orthologs and on small condition-specific datasets for the comparison.
The functional category analysis was done over biological process GO term distribution at a cutoff level of 3. The datasets for the comparison with other species were made in the following way: The sequences were downloaded from the dbEST database in GenBank.
Based on the prespecified reliability criteria with regard to wearing time of the accelerometer (at least three days of measurement with a recorded wearing time of at least 22 hours per day) complete datasets for the comparison of physical activity during treatment with indacaterol and placebo were available for 83 patients.
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Then the warm season (May-September) mean temperature at each grid point and each decade was calculated using the infilled dataset for the comparison with the reconstructions.
Permuting the tested dataset for the comparison we simulated gene/protein expressions in a homogenous cell population and compared it with the expression of specific phenotypes representing subpopulations.
β2a and β2b represent immediate effects of the supply and CCT interventions respectively on the level of the outcome; the independent dummy variables interventionSupply and interventionCCT were coded zero or 1 for each month based on the dates each intervention was launched, with interventionCCT remaining zero throughout the dataset for the comparison clusters.
In-paralogs were found based on the same network of blast results with the following definition: C1 and C2 are cassava sequences, C1 and C2 are BLASTN hits (e-value < 1e-10) of each other and the best hit of both sequences in at least two of the datasets used for the comparison corresponds to a single gene.
First, the computational time needs to be short such that it doesn't preclude the investigation of a large dataset, required for the comparison of many protein interfaces.
The previous human dataset and a mouse dataset were used for the comparison.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com