Identifying robust communities and multi-community nodes by combining top-down and bottom-up approaches to clustering.

ABSTRACT: Biological functions are carried out by groups of interacting molecules, cells or tissues, known as communities. Membership in these communities may overlap when biological components are involved in multiple functions. However, traditional clustering methods detect non-overlapping communities. These detected communities may also be unstable and difficult to replicate, because traditional methods are sensitive to noise and parameter settings. These aspects of traditional clustering methods limit our ability to detect biological communities, and therefore our ability to understand biological functions. To address these limitations and detect robust overlapping biological communities, we propose an unorthodox clustering method called SpeakEasy which identifies communities using top-down and

SUBMITTER: Gaiteri C 

PROVIDER: S-EPMC4637843 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature