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They included local evaluation on training and test signals, calculation of global void fraction values, and an assessment of variability among different experts.
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The different parameters derived from signal calculation by the GCOS software were used to calculate mean, median and standard deviation of signal values as well as the percentage of "present" calls for the groups of experiment arrays and baseline arrays separately.
The proposed method uses fuzzy weighted sliding window background signal calculation, background removal, and calculation of target energy functions.
Signal calculation in this method is established based on the integration of net current changes over the scanned potential range.
In the absence of a consistent theory for nonlinear systems an heuristic approach is proposed, based on three main subjects: selection of a suitable training signal, calculation of the network parameters and selection of the most appropriate network configuration.
MAS 5.0 was used for signal calculation and present/absent determination combined with SAM ranking analysis to identify significantly up/down regulated genes.
The average absorption at 450 nm (A450) was determined for the control wells of virus-infected (VC) and uninfected (CC) cells and the neutralizing endpoint (NEP) was determined by using a 50% specific signal calculation.
These methods (which include robust data normalization and signal calculation, combined parametric and non-parametric correlation and random cross-validation) help to avoid both biological and technical noise and provide a human gene coexpression network that shows good accuracy and coverage.
After adding the substrate (TMB, KPL), the average absorption at 450 nm (A450) was determined for the control wells of virus-infected (VC) and uninfected (CC) cells and the neutralizing endpoint (NEP) was determined by using a 50% specific signal calculation.
To achieve this we describe a new method that combines several statistical and computational strategies: robust normalization and expression signal calculation; correlation coefficients obtained by parametric and non-parametric methods; random cross-validations; and estimation of the statistical accuracy and coverage of the data.
However, these tools have been compared with MAS5.0/GCOS on the basis of probe set signal calculation.
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