Article

2-Way <i>k</i> -Means as a Model for Microbiome Samples

2017-07-11

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Motivation</h4> Microbiome sequencing allows defining clusters of samples with shared composition. However, this paradigm poorly accounts for samples whose composition is a mixture of cluster-characterizing ones, and therefore lie in-between them in cluster space. This paper addresses unsupervised learning of 2-way clusters. It defines a mixture model that allows 2-way cluster assignment an...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: e6bd6d04-19b8-512a-9d57-a8f75fd25548
DOI: 10.1101/161935

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

2-Way <i>k</i> -Means as a Model for Microbiome SamplesDOI 10.1101/161935Read

A hyperspherical deep Bayesian model for interpretable clustering and relationship prediction in microbiome multi-omics integrationSemantic proximity Read

Performance Determinants of Unsupervised Clustering Methods for Microbiome DataSemantic proximity Read

ENIGMA: An Enterotype-Like Unigram Mixture Model for Microbial Association AnalysisSemantic proximity Read

Latent Dirichlet Allocation for Double Clustering (LDA-DC): Discovering patients phenotypes and cell populations within a single Bayesian frameworkSemantic proximity Read

Joint analysis of multiple metagenomic samples.Semantic proximity Read

Clusternomics: Integrative Context-Dependent Clustering for Heterogeneous DatasetsSemantic proximity Read

Microbiomes without boundaries: cystic fibrosis ‘pulmotype’ classifications are dependent on algorithm choice and database size, and indicate continuous variationSemantic proximity Read

Clustering co-abundant genes identifies components of the gut microbiome that are reproducibly associated with colorectal cancer and inflammatory bowel diseaseSemantic proximity Read

A Bayesian Two-Way Latent Structure Model for Genomic Data Integration Reveals Few Pan-Genomic Cluster Subtypes in a Breast Cancer CohortSemantic proximity Read

Visualizing the Structure of RNA-seq Expression Data using Grade of Membership ModelsSemantic proximity Read

Randomized Feature Selection Based Semi-Supervised Latent Dirichlet Allocation for Microbiome AnalysisSemantic proximity Read

Bayesian clustering with uncertain dataSemantic proximity Read