Keyword

Bayesian clustering

Description: A statistical approach to grouping observations into clusters by using Bayesian inference to estimate cluster membership and model parameters.

Primary topic: Genetic diversity and population structure (26%)

OpenAlex ID: keywords/bayesian-clustering

Detecting the number of clusters of individuals using the software structure : a simulation study

2005 · G. EVANNO, S. REGNAUT, et al. · Molecular Ecology · 21,908

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Empirical Analysis of Predictive Algorithms for Collaborative Filtering

2013 · Breese, John S., Heckerman, David, et al. · arXiv (Cornell University) · 4,772

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Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data

2003 · Stefano Monti, Pablo Tamayo, et al. · Machine Learning · 2,107

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Spatial transcriptomics at subspot resolution with BayesSpace

2021 · Edward Zhao, Matthew R. Stone, et al. · Nature Biotechnology · 1,008

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PyClone: statistical inference of clonal population structure in cancer

2014 · Andrew Roth, Jaswinder Khattra, et al. · Nature Methods · 999

Efficiency of model‐based Bayesian methods for detecting hybrid individuals under different hybridization scenarios and with different numbers of loci

2005 · JUHA‐PEKKA VÄHÄ, CRAIG R. PRIMMER · Molecular Ecology · 887

Bayesian clustering algorithms ascertaining spatial population structure: a new computer program and a comparison study

2007 · CHIBIAO CHEN, ERIC DURAND, et al. · Molecular Ecology Notes · 786

Relative performance of Bayesian clustering software for inferring population substructure and individual assignment at low levels of population differentiation

2006 · Emily K. Latch, Guha Dharmarajan, et al. · Conservation Genetics · 653

Catchment classification: empirical analysis of hydrologic similarity based on catchment function in the eastern USA

2011 · K. Sawicz, T. Wagener, et al. · Hydrology and earth system sciences · 549

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Automatic model construction with Gaussian processes

2014 · Duvenaud, David · Apollo (University of Cambridge) · 495

A Markov Chain Monte Carlo Approach for Joint Inference of Population Structure and Inbreeding Rates From Multilocus Genotype Data

2007 · Hong Gao, Scott Williamson, et al. · Genetics · 491

BayesHammer: Bayesian clustering for error correction in single-cell sequencing

2013 · Sergey I Nikolenko, Anton I Korobeynikov, et al. · BMC Genomics · 479

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BAPS 2: enhanced possibilities for the analysis of genetic population structure

2004 · Jukka Corander, Patrik Waldmann, et al. · Bioinformatics · 468

Cluster analysis of gene expression dynamics

2002 · Marco F. Ramoni, Paola Sebastiani, et al. · Proceedings of the National Academy of Sciences · 466

Spotting opinion spammers using behavioral footprints

2013 · Arjun Mukherjee, Abhinav Kumar, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 425

Unsupervised Bayesian Detection of Independent Motion in Crowds

2006 · G.J. Brostow, R. Cipolla · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 415

Challenges in analysis and interpretation of microsatellite data for population genetic studies

2014 · Alexander I. Putman, Ignazio Carbone · Ecology and Evolution · 409

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Bayesian Clustering Using Hidden Markov Random Fields in Spatial Population Genetics

2006 · Olivier François, Sophie Ancelet, et al. · Genetics · 348

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Spatial Inference of Admixture Proportions and Secondary Contact Zones

2009 · E. Durand, F. Jay, et al. · Molecular Biology and Evolution · 320

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Bayesian consensus clustering

2013 · Eric F. Lock, David B. Dunson · Bioinformatics · 309

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