Linking hypothetical knowledge patterns to disease molecular signatures for biomarker discovery in Alzheimer's disease.

ABSTRACT:

Background

A number of compelling candidate Alzheimer's biomarkers remain buried within the literature. Indeed, there should be a systematic effort towards gathering this information through approaches that mine publicly available data and substantiate supporting evidence through disease modeling methods. In the presented work, we demonstrate that an integrative gray zone mining approach can be used as a way to tackle this challenge successfully.

Methods

The methodology presented in this work combines semantic information retrieval and experimental data through context-specific modeling of molecular interactions underlying stages in Alzheimer's disease (AD). Information about putative, highly speculative AD biomarkers was harvested from the literature using a semantic framew

SUBMITTER: Malhotra A 

PROVIDER: S-EPMC4256903 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature