Then the error structure of the model is taken to be log-Normal. On the other hand, for the additive model the gene expression value is modeled directly as being from a gamma distribution which successfully accounts for the constant coefficient of variation often observed. Appropriate visualization...
Because predictor variables are nearly always associated, two or more variables may explain some of the same variation in Y. Therefore, each coefficient does not measure the total effect on Y of its corresponding variable. It would if it were the only predictor variable in the model. Or if ...
We report some new laboratory and petrographic data which illustrate that this wide variation is in part a function of the large difference in coefficient of friction between thoroughly dried (0.7 or greater) and water-saturated (0.3 or lower) montmorillonite. Dry montmorillonite gouge is subject ...
If the coefficient of the independent variable X is positive, it indicates for every unit increase in the independent variable; the dependent variable will increase by the value of the coefficient. This also means that for every unit decrease in the independent variable, the dependent variable will...
Effects of size at metamorphosis on stonefly fecundity, longevity, and reproductive success Many organisms with complex life cycles show considerable variation in size and timing at metamorphosis. Adult males of Megarcys signata (Plecoptera: Perlo... BW Taylor,Chester R. Anderson and Barbara L. ...
RSquare provides a measure of the strength of the linear relationship between the response and the predictor. In simple linear regression, RSquare is the square of the correlation coefficient, r. This statistic, which falls between 0 and 1, measures the proportion of the total variation ...
Provided unmodeled sources of variation are negligible relative to measurement error, a simple Poisson model of expression should suffice: $$\begin{aligned} x_{ij} \sim {\textrm{Poisson}}(s_i \theta _{ij}). \end{aligned}$$ (3) In this model, \(\theta _{ij}\) for gene j in ...
Provided unmodeled sources of variation are negligible relative to measurement error, a simple Poisson model of expression should suffice: xij∼Poisson(siθij). (3) In this model, θij for gene j in cell i is controlled by the cell’s membership in the cluster: when cell i belongs to...
The ranking method is established using simulated data where the true B(θ(v)) is known, so that each B(v) can be evaluated against B(θ(v))by coefficient of determination (R2). We found that our procedure consistently optimizes for R2 (Supplementary Figure 4b, c; see Supplementary ...
Coefficient of Determination We often denote this as R2 or r2, more commonly known as R Squared, indicating the extent of influence a specific independent variable exerts on the dependent variable. Typically ranging between 0 and 1, values below 0.3 suggest weak influence,...