Review paper
Using association signal annotations to boost similarity network fusion
Abstract
Recent technology developments have made it possible to generate various kinds of omics data, which provides opportunities to better solve problems such as disease subtyping or disease mapping using more comprehensive omics data jointly. Among many developed data-integration methods, the similarity network fusion (SNF) method has shown a great potential to identify new disease subtypes through separating similar subjects using multi-omics data....
Paper Details
Title
Using association signal annotations to boost similarity network fusion
Published Date
Feb 19, 2019
Journal
Volume
35
Issue
19
Pages
3718 - 3726
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