Differential expression testing was performed by generalized linear modeling of indicated (co- variates on normalized log2-transformed expression values implemented by limma Bioco- variatesckage (Smith, 2005).
where V is the current value function implemented by the critic to evaluate the action a t taken in s t.
The computation of q-values is implemented by the "qvalue" package provided in the R software (http://www.r-project.org/).org/
Standard Wald confidence intervals and P values were implemented by the setting DF = 1,000, as described by van Houwelingen et al. and Reitsma et al. [ 35, 36].
Next, maximum likelihood estimation was used to impute the missing values, which was implemented by the expectation maximization algorithm.
Between-array normalization was achieved using quantile normalization of mean probe intensity values, which is implemented by limma as the "Aquantile" method.
And there's an iteration that says, in order to circle, given an x and y, what I want is to circle with the next values of x and y being the old value of x decrement by y times dt where dt is the time step and the old value of y being implemented by x times dt, giving me the new values of x and y.
We hypothesized that this bottleneck may be due to the noisy representation of value (and value difference) by the monkey's decision apparatus, which is presumably implemented by value-coding neurons.
Therefore, for the sake of simplicity and practical usefulness, we used a scaling factor of 0.75, which is close to the optimized value and can be implemented by several shift registers.
By default AZOrange imputes missing values with the average or the most frequent value of the training set, as implemented by the corresponding Orange method.
