Sentence examples for inferred probability from inspiring English sources
For example, if 70% of paths on network P pass through point 101 and 30% pass through point 001, we infer a 70% probability that the missing trait in biological intermediate 201 takes the value 1. Predictions were presented if the inferred probability of a '1' value was >75% (predicting a '1') or <25% (predicting a '0').
Consistent with this hypothesis, computing the slope based only on inferred non-regulated proteins (by eliminating data points in proportion to their inferred probability of regulation) reduced Kendall's τ correlation coefficient from.28 to.06 ( Figure 6c).
The method produces samples from the inferred probability distribution over transcripts' expression levels.
We used the LDA 6GP model to rank each gene by its inferred probability of being HI.
This threshold is chosen so that the inferred probability of chromatin being open is close to 1 according to our model.
We searched for these cases using a computational model that, for each gene, calculates an inferred probability of the gene being HI.
We applied our algorithm on each of the samples in each of the datasets separately and inferred probabilities of each SD and GD event.
Given this framework it is shown that a bayesian approach can be adopted in order to infer probability distributions on the underlying variable given constraints both in the form of linguistic expressions and mass assignments.
It then tries to infer probability distributions over the vocabulary of words thereby defining each of k topics.
The maximum likelihood method uses a mathematical model to infer probability distributions for possible phylogenetic trees where the probabilities are determined from a substitution matrix that takes into account differences in the rates of particular substitutions.
However, given that the aim is to infer probabilities, it is not a tree of events but of probabilities of events; that is, and for example, the probability that the permeability 'K' takes values larger than a set value, "x", i.e., P K) > x, rather than its unknown actual value.
