Sentence examples for terms that map from inspiring English sources

We demonstrate how Bio-LDA, in contrast to natural language processing methods, can automatically derive a collection of topics of related biological terms that map to clearly understandable biological themes, and which allow the complexity of topics addressed in individual papers to be represented by probabilities of association with topics.

A few records excerpted from MRCON shows terms that map to the UMLS CUI (Concept Unique Identifier) code C0338106, Colon Adenocarcinoma.

Several GO terms that map to LTRs (e.g., retrotransposon nucleocapsid, transposition) were also significantly co-localized under both analyses but are not included in Table  2 because of the redundancy in the mapping.> -wrap-foot> MPED: the median of pairwise Euclidean distances in the 3D reconstruction.

With the task setting, our goal was, for a given set of terms, to identify the similarity measure and the threshold value that yielded the best set of matchings between two terms (i.e., the set that best agreed with the set that was obtained by matching two terms that were mapped to the same concepts).

Post-coordination mapping was performed on the terms remaining after the terms that had been mapped in the previous mapping algorithms were excluded.

The coordinators at each division were notified of these and asked to work with their local pathologists to replace these with terms that were amenable to mapping.

Within this CV, we could map 95 terms to an identical GO cellular component, 128 terms to similar GO terms and 8 terms not at all, although no records contained terms that could not be mapped.

For terms that were abbreviated, we manually mapped them to one another so that, for example "T2DM" was made equivalent to "type 2 diabetes mellitus".

The MCM application was capable of automatically mapping smaller terms that were subsets of larger ones (e.g., "type 2 diabetes" into "type 2 diabetes mellitus").

Any terms that could not be directly mapped were classified as "unclassifiable".

I would like to see the mapping of terms that are different in the abstract versus displayed gene names or diseases in the panel.