This weight represents the probability of how well the corresponding trajectory characterizes the segment.
The Chi test shows the probability of how often the amount of PPT fluctuates.
The corresponding distributions are shown in Figure 2, where the horizontal axis indicates a user group and the vertical axis shows the probability of how many users in this group answer 'yes' to a particular question.
In their approach a Markov chain model trained on approximately 10 million usernames gathered from Google and eBay is used to estimate a probability of how common tho usernames are.
The difference in the AIC values, ΔAIC, between the two competing models is useful, because exp{−ΔAIC/2} can be interpreted as the relative probability of how the model with the smaller AIC value is superior to the other, see the selected papers of Akaike (Parzen et al. 1998).
Given m number of classes: C = {c1,c2,…,c m } the entropy can be given as follows: H(C) = - sumlimits_{i = 1}^{m} {P(c_{i} )log_{2} P(c_{i} )} (1 where P(c i ) is the probability of how many documents in class c i.
To assess the significance of the score obtained, the probability of how frequently such a score would be observed by chance has to be calculated.
This method itself does not provide an estimate or probability of how accurate the arbitrary determination of n is.
For a subgraph in our PPI network we can compute the conditional probability of how likely it represents a complex using the following Equation (4).
Positive IPLs reflect how much more likely the gene is active in the tumor, whereas negative IPLs reflect the negative log probability of how likely the gene is inactive in the tumor relative to normal.
