Sentence examples for likelihood of dependency. from inspiring English sources

Based on this idea, we identify condition-specific regions in the built network by measuring the effect from the samples of each condition on the likelihood of dependency.

This is consistent with the finding of a previous study among Canadian seniors [ 41] where having more than one chronic condition increases the likelihood of dependency.

A contextual gene set interaction network is built from S U, which is a set of all samples after the expression summarization of the original gene expression matrix D, by computing the likelihood of dependency d i j = Pr G i ↔ G j | S U ) (= d j i ) between each pair of contextual gene sets G i and G j. G i ↔ G j is a connection between two contextual gene sets G i and G j in any direction.

Bayesian network learning was used in this work to more correctly estimate the likelihood of dependency, but simpler measures such as correlation or mutual information can be also used for the same formulation.

A contextual gene set interaction network is learned from the summarized contextual gene set expression data, by evaluating the likelihood of dependency between each pair of contextual gene sets given all samples and building a connection if the dependency likelihood is larger than a given threshold (STEP III).

To measure the effect of a condition on a dependency, we evaluated the likelihood of the dependency without the samples of the condition and computed its difference with the original likelihood obtained using all available samples (STEP IV).

Our approach to identify the specificity of a dependency relationship to a condition is measuring the effect by the samples of a condition on the likelihood of the dependency.

Religious affiliation increases the likelihood of marital dependency, as does membership in more conservative Protestant denominations and quasi-ethnic religious groups.

Therefore, the likelihood of reporting higher forest dependency decreased with increase on household size.

Interestingly, study participants actually exhibited a decreased likelihood of death in dependency-of-treatment delay (HR: 0.95; p = 0.045).

This ratio increases with the likelihood of there being a dependency between the occurrence of two proteins.