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To assess the feasibility of biomarker development in PDAC, we have also taken a mouse models approach using the p48-Cre/LSL-KrasG12D p48-Cre/LSL-KrasG12D p48-Cre/LSL-KrasG12D
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Chiu et al. [29] proposed a pixel-wise color background modeling approach using probability theory and clustering.
We present results of our activity modeling approach using videos of both high-resolution single individual activities and ground plane surveillance activities.
Additional testing of the model approach using the full Acadian Forest database is required, but will also require substantial increases in computational resources.
The models were built following a statistical approach using a continuous Hidden Markov Model, a black-box state space modeling approach using Recursive Multi-Layer Perceptrons, and a histrogram-based approach.
Modeling simplicity and calculation efficiency of the mixed-model approach using the p-convergent transition elements is shown for the analysis of patch repaired plates.
In the present study, we estimated the genetic correlations between 7 traits and compared the parent-offspring approach with the animal model approach (using either individual mean values or repeated measures).
The risk is calculated using a standard logistic regression modelling approach using the casemix variables.
Differential gene expression was determined using a linear model approach using the R package, Limma [ 34].
A physiologically based pharmacokinetic (PBPK) modeling approach using the Simcyp program was implemented.
A hierarchical linear modeling approach, using the Poisson model with equal exposure and a logarithmic link function, was used to model these events.
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