Sentence examples for classification of relationships from inspiring English sources

We developed CARROT (ClAssification of Relationships with ROTations), a new framework for relationship inference that leverages linkage information to differentiate between rotated relationships.

Results: We present CARROT (ClAssification of Relationships with ROTations), a novel framework for relationship inference that leverages linkage information to differentiate between rotated relationships, that is, between relationships with the same number of common ancestors and the same number of meioses separating the individuals under consideration.

Despite such different relationships indeed exist, in practice, however, the identification and classification of homology relationships remains very difficult, mainly to entire genomes comparisons involving several species.

Among the classical Greek thinkers, the meanings of dialectic ranged from a technique of refutation in debate, through a method for systematic evaluation of definitions, to the investigation and classification of the relationships between specific and general concepts.

Here we will consider instead the SCOP classification of evolutionary relationships between proteins structures, as it complements automated classification with manual curation [ 21, 31].

The second drawback of existing structural similarity databases is that they offer a rigid classification of structural relationships according to some predefined set of parameters.

One ambiguity in the definitions we have presented above is the classification of xenologous relationships, which arise due to horizontal gene transfer (HGT) events.

The diversity of possible expressions and circumventions of disorganization meant specifically that the discovery of the D category of infant Strange Situation behavior rested on an unwillingness to adopt the "essentialist" or "realist" position regarding the classification of human relationships.

(Main et al., 1985, p. 99) discovery of the D category of infant Strange Situation behavior rested on an unwillingness to adopt the "essentialist" or "realist" position regarding the classification of human relationships.

Then, clustering of the orthologous sequences was analyzed using the Markov Cluster algorithm [ 75] which was based on probability and graph flow theory that allows the simultaneous classification of global relationships in a similarity space.

We are proposing a classification of this relationship that is reliable and may be easily recognised.