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We randomly divided the sequence-unique data set into six equally sized groups, using proteins from four groups for training (optimization of junctions in the neural networks), one for cross-training (optimization of general network parameters, including "stop-training"), and one for testing (estimate performance).
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Structural equation modelling represents a contemporary statistical technique for testing and estimating the relation between the factors and variables [91].
This paper provided a novel method that only used chemical structures to develop efficient and stable models for testing and estimating association constants of the cesium chelates.
In this article, we propose a maximum likelihood approach for testing and estimating the imprinted effects of iQTL that contribute to variation in a quantitative trait.
SEM is a statistical technique for testing and estimating causal relationships using a combination of statistical data and qualitative causal assumptions.
Structural equation modelling (SEM) is a statistical technique for testing and estimating such recursive relationships [ 2- 4].
During the period covered by this review, the total number of samples submitted for testing was estimated to be ≈50,000.
Structural equation model (SEM [ 23, 24] is a statistical technique for testing and estimating causal relationships using a combination of statistical data and qualitative causal assumptions.
When PCR for 16S rRNA and cryptic plasmid of C. trachomatis was applied for culture test, estimated detection rate of the pathogen in serum was 94.2%.
The ranges for test parameter estimates derived empirically and from the literature assumed beta distribution based on available ranges of estimates, and ranges for empirical cost data assumed gamma distribution.
Regulatory assessments are performed by comparing the findings in a range of routine toxicity studies, designed for testing chemicals, with estimates of exposures.
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CEO of Professional Science Editing for Scientists @ prosciediting.com