Original paper
Using machine intelligence to uncover Alzheimer’s disease progression heterogeneity
Abstract
Aim: Research suggests that Alzheimer’s disease (AD) is heterogeneous with numerous subtypes. Through a proprietary interactive ML system, several underlying biological mechanisms associated with AD pathology were uncovered. This paper is an introduction to emerging analytic efforts that can more precisely elucidate the heterogeneity of AD. Methods: A public AD data set (GSE84422) consisting of transcriptomic data of postmortem brain samples...
Paper Details
Title
Using machine intelligence to uncover Alzheimer’s disease progression heterogeneity
Published Date
Jan 1, 2020
Journal
Volume
1
Issue
6
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Notes
History