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EMEP

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Suggested by: Avital Cher

Description

The EMEP algorithm firstly applies the unsupervised dimensionality reduction to project data from the original high dimensions to low-dimensional sub-spaces; basic clustering algorithms are applied in those new subspaces to generate different clustering results to form cluster ensembles. However, most of those cluster ensembles are unnecessarily bulky with the expense of extra time costs and memory consumption. To overcome that problem, EMEP is designed to dynamically select the suitable clustering results from the ensembles.

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Associated keywords

RNA-Seq

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