Correction: Visualizing the structure of RNA-seq expression data using grade of membership models
نویسندگان
چکیده
[This corrects the article DOI: 10.1371/journal.pgen.1006599.].
منابع مشابه
Visualizing the structure of RNA-seq expression data using grade of membership models
Grade of membership models, also known as "admixture models", "topic models" or "Latent Dirichlet Allocation", are a generalization of cluster models that allow each sample to have membership in multiple clusters. These models are widely used in population genetics to model admixed individuals who have ancestry from multiple "populations", and in natural language processing to model documents h...
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Grade of membership or GoM models (also known as admixture models or Latent Dirichlet Allocation”) are a generalization of cluster models that allow each sample to have membership in multiple clusters. It is widely used to model ancestry of individuals in population genetics based on SNP/ microsatellite data and also in natural language processing for modeling documents [1, 3]. This R package i...
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Grade of membership models, also known as “admixture models”, “topic models” or “Latent Dirichlet Allocation”, are a generalization of cluster models that allow each sample to have membership in multiple clusters. These models are widely used in population genetics to model admixed individuals who have ancestry from multiple “populations”, and in natural language processing to model documents h...
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