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ECCO: A Python UI for Performing Ensemble Clustering Combined with Cluster Optimization on Omics Data

Brady David HislopiD, Kenna Brown, Hunter HasskampiD, Connor Boone, Mark GreenwoodiD, Chelsea M. HeveraniD, Ronald K. JuneiD

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4

Abstract

Modern biological research often leverages clustering to elucidate disease endotypes and underlying mechanisms. Mono-cluster solutions remain the predominant method; however, this approach has concerning pitfalls, motivating the need for ensemble clustering methods. We present Ensemble Clustering Combined with Cluster Optimization (ECCO), an open-source Python UI that provides a fast, scalable framework for ensemble clustering of large-scale data. It includes zero-code integration of novel ensemble clustering methods and many pre- and post-processing functionalities, enabling researchers to efficiently integrate advanced clustering methodologies into their analysis pipelines.

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