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

摘要

BackgroundA 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.