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From the computational point of view the artificially increased number of ESTs affects the likelihood to predict tissue-specifically expressed transcripts since the prediction mainly relies on the count of ESTs [ 12, 13].
In the way of determination of parameters of different models a clear distinction should be made between two approaches: (i) parameter estimation (classical approach) and (ii) ANN approach with the aim of prediction (mainly interpolation).
Reported studies on the use of SARIMA models for flow prediction mainly suffers from a drawback that, they used a huge historical database for model development.
The existing research work of wheel profile wear prediction mainly focus on three aspects: 1) to establish a prediction model based on the vehicle dynamics model, wheel rail rolling contact model, and wheel material wear model; 2) to confirm the maximum limit value while updating wheel profiles; and 3) to analyze the influence of vehicle track parameters on the wear.
Our study therefore confirms that arterial pressure variations during normal spontaneous breathing are not useful for fluid responsiveness prediction, mainly because of low sensitivity.
First, most previous work on drug response prediction mainly based on individual dataset, such as NCI60, CCLE or CGP, but seldom see integration analysis.
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Considering that the seed match between miRNA and target is one of the most accurate predictors of miRNA targeting, and that most computational techniques for miRNA target predictions mainly rely on this information, we predicted targets based on this information alone for use in this study.
Despite overall third-quarter results that met or exceeded analysts' expectations, America Online, the Internet unit of AOL Time Warner, fell far short of predictions, mainly because of softness in online advertising and electronic commerce.
The underestimation of the 2D numerical predictions mainly comes from the difference between the 2D image and the 3D structure of the real system.
Such an extensive validation exercise allowed us to prove that our approach is successful in estimating fatigue damage in aluminium welded details, resulting in predictions mainly falling within the two reference scatter bands adopted to calibrate the method itself.
The original model of Inagaki et al. (2005) produced unacceptable predictions, mainly due to the inaccurate estimation of the turbulence characteristics near the ground surface of the flow approaching the hill.
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