Sentence examples for biological alignment from inspiring English sources

When evaluating the biological alignment quality with respect to functional enrichment of the aligned nodes, we use Gene Ontology (GO) annotation data from our recent study [ 2, 3].

NC significantly correlates with both topological and biological alignment quality measures, which is encouraging.

Namely, using no topological information within NCF results in poor topological and sometimes even biological alignment quality.

That is, the result of querying X in Y is different from that of querying Y in X, which is not expected in pairwise biological alignment.

Overall, at least some amount of topological information should be included within NCF, as this results in good topological as well as biological alignment quality.

In general, we find that which amount of sequence information is used within NCF does not drastically affect neither topological or biological alignment quality, while the effect of topological information is drastic.

To measure the quality of the resulting trees, we measured the topological accuracy on simulated alignments and the likelihood on genuine biological alignments.

It is worth noting that the concept of constrained alignments has appeared in biological network alignment literature before.

As one of the biological networks alignment algorithms, GNAS (global network alignment score) [ 20] is adopted as evaluation criterion in this paper defined in (15).

This new method is designed for complete probabilistic biological network alignment based on probabilistic biological network alignment (PBNA) in order to take full advantage of the uncertain information of biological network.

In this paper, we develop a method called "complete probabilistic biological network alignment" (C_PBNA) based on "part probabilistic biological network alignment (PBNA)." Our approach can take full advantage of the information for the uncertain network alignment with two uncertain networks.