Back to search

Article

Measuring the importance of annotation granularity to the detection of semantic similarity between phenotype profiles

2016-11-08

Abstract excerpt

In phenotype annotations curated from the biological and medical literature, considerable human effort must be invested to select ontological classes that capture the expressivity of the original natural language descriptions, and finer annotation granularity can also entail higher computational costs for particular reasoning tasks. Do coarse annotations suffice for certain applications? Here, we measure how annot...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
3a77935b-a5e1-5ffd-b113-cfb532f21925
DOI
10.1101/086306
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Measuring the importance of annotation granularity to the detection of semantic similarity between phenotype profilesDOI 10.1101/086306
Select a neighboring publication to make it the new centre.