For example, consider a case where a configuration [G, A, G, G, G, G] for extant nodes [m, s, t, y, e, o] gave inferred ancestral configurations [G, G, G, G] and [A, G, G, G] for ancestral nodes [ms, tyeo, ty, eo] with probabilities 0.9 and 0.1, respectively.
Assume that our heuristic is expected to return an agreement of 80% if a given topology inferred from experimental data is correct.
Association analyses were performed on best linear unbiased estimations (BLUEs) of genotypes' performance for a given trait, inferred from the following linear mixed model: y i j l m r c = m e a n + g e n o t y p e i + l o c a t i o n j + y e a r (l o c a t i o n ) j l + r e p. (l o c a t i o n ) j m + (year × rep.
The lower the case-to-infection ratio, then the greater the implied extent of infection transmission for a given observed (or inferred) number of cases.
A given sequence was inferred to be recombinant if at least one of the methods identified a recombination tract in that sequence with a probability < 0.05.
PRINCE is another approach based on networks for ranking candidate disease genes for a given disease and inferring the complex associations between genes.
By this approach, the probability of CO2 escaping into a compartment for a given system can be inferred from the fuzzy rules.
Thus, the relative amount of collapse (amount of lost units) within a given pixel can be inferred from the decrease in pixel compliance in relation to its "best compliance" [1, 3].
The activity of a given pathway is then inferred by combining the log-likelihood ratios of the constituent genes.
Understanding the properties of each analysis method is critical in deciding whether the interpretation of pathological movements observed in a given disorder should be inferred based on the neural noise or loss of complexity hypothesis.
