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Discover Ludwig"propensity data" is a correct and usable phrase in written English.
It is typically used when discussing the tendency or likelihood of something happening, and refers to any data or information that supports or measures this tendency. Example: The marketing team analyzed the customer behavior and found a strong correlation between age and purchasing frequency, providing valuable propensity data for their targeted advertising campaigns.
Exact(5)
The main objective of the present work was to provide scaling propensity data so as to assist design of boron reduction processes and explore the possibility of boron control by a single pass RO process.
Another kind of index common to the PDB and Pfam sets is the α-helix propensity derived from designed sequences[38] (KOEP990101) which is actually correlated with coil propensity (data not shown).
Potential amino acids that correlate with the propensity data for each core position of all the screened folds are then identified for the target sequences, providing an estimate of 'core fit' and serving as a second filter for fold and template selection.
In this article, we develop and analyze propensity data by modeling sequences as a time-series, estimating the scaling regime of a generalized probability density function (PDF) of a variable derived from the original propensity data structure.
Although a higher ionic strength would mimic the cell environment more accurately, we consistently observed that higher salt concentrations (up to 150 mM) increase Josephin aggregation propensity (data not shown).
Similar(54)
The name of this index is rather cryptic, but it is weakly negatively correlated with turn or coil propensities (data not shown).
This perception likely stems from the propensity of data generated by CS to contain greater levels of variability (e.g., measurement error) or bias (e.g., spatio-temporal clustering) in comparison to data collected by scientists or instruments.
To avoid propensity to data overfitting, PCA analysis was used to create the 2D analysis plot.
Spatial autocorrelation is the propensity for data values closer to each other in space to be more similar.
In survival analysis with 1 1 propensity matching data, rosiglitazone use was associated with a lower incidence of the primary composite outcome [Hazard ratio (HR) 0.361, 95% CI 0.204-0.64; p < 0.001)], even after adjusting for age, previous CV event, BMI and baseline insulin use (HR 0.312, 95% CI 0.174-0.558, p < 0.001).
The multinomial logistic model was then retested with the propensity-weighted data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com