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Fast approximate inference for variable selection in Dirichlet process mixtures, with an application to pan-cancer proteomics

The Dirichlet Process (DP) mixture model has become a popular choice for model-based clustering, largely because it allows the number of clusters to be inferred. The sequential updating and greedy search (SUGS) algorithm (Wang & Dunson, 2011) was proposed as a fast method for performing approxim...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Stat Appl Genet Mol Biol
Egile Nagusiak: Crook, Oliver M., Gatto, Laurent, Kirk, Paul D.W.
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: 2019
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC7614016/
https://ncbi.nlm.nih.gov/pubmed/31829970
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1515/sagmb-2018-0065
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