Sentence examples for measures to infer from inspiring English sources

In the following, we briefly shed light on the two main procedures (resulting in partition-based and partition-independent measures) to infer information-theoretic complexity measures for characterizing chemical network structures.

We used centrality measures to infer gene-disease associations.

To calculate prevalence ratios of anemia, diseases of respiratory and immune systems we used log-binomial models with repeated measures to infer serial correlation [ 31].

While phylogenetic proximity is the most commonly used surrogate for ecological similarity, as evidenced by the proliferation of studies using OTU-based and phylogenetic beta-diversity measures to infer community similarity, these new sources of information suggest new approaches based on habitat similarity and/or co-occurrence.

We used two measures to infer the genomic distribution of paralogs in the human genome, namely (i) the chromosomal location (intra- vs. interchromosomal locations for paralogs residing on the same and different chromosomes, respectively) and (ii) the genomic distance (unique sequence in bp) separating two intrachromosomal paralogs as a function of synonymous divergence, K S.

They propose a measure to infer combinations of variant services that are, in fact, effective.

Persistency factor is a measure to infer the user's continuous interests by combining a concept's frequency count with its evidence of being a user's short-term layer's constituent.

MI has been applied successfully as a measure to infer 2-way interactions in complex networks (quite specially in the field of Gene Regulatory Networks or GRNs) (Andrecut and Kauffman 2006a; Andrecut and Kauffman 2006b; Madni and Andrecut 2007; Margolin et al. 2006).

Knee diameters were measured to infer joint swelling as an indicator of inflammation resulting from i.a.a

The nonsynonymous/synonymous substitutions rate ratios (dN/dS = ω) were measured to infer the selective pressure at the protein level.

Existing methods usually use a global or local proximity measure to infer GINs from a single dataset.