Can the vector space model be used to identify biological entity activities?

ABSTRACT:

Background

Biological systems are commonly described as networks of entity interactions. Some interactions are already known and integrate the current knowledge in life sciences. Others remain unknown for long periods of time and are frequently discovered by chance. In this work we present a model to predict these unknown interactions from a textual collection using the vector space model (VSM), a well known and established information retrieval model. We have extended the VSM ability to retrieve information using a transitive closure approach. Our objective is to use the VSM to identify the known interactions from the literature and construct a network. Based on interactions established in the network our model applies the transitive closure in order to predict and rank new intera

SUBMITTER: Maciel WD 

PROVIDER: S-EPMC3287578 | biostudies-literature | 2011 Dec

REPOSITORIES: biostudies-literature