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hierarchical bayesian mixture model  (SciClone Inc)

 
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    SciClone Inc hierarchical bayesian mixture model
    Hierarchical Bayesian Mixture Model, supplied by SciClone Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/bayesian+mixture+model/variational+bayesian+mixture+model/pmc08277113-252-4-0
    Average 90 stars, based on 1 article reviews
    hierarchical bayesian mixture model - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    other:

    Article Title: Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig
    Article Snippet: We report the results with two clustering methods in SciClone: Beta mixture model (BMM, default) and Beta-binomial mixture model (Binomial BMM).

    Article Title: Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig
    Article Snippet: For this comparison, we used two different noise models with SciClone: the binomial-beta model which is an exact match to how the simulated data are generated, and the beta model, which is not and which was the model used for computing the reconstruction error above.

    Article Title: Increased number of subclones in lung squamous cell carcinoma elicits overexpression of immune related genes
    Article Snippet: There are several statistical models for the inference of clonal population structure in a tumor, including SciClone’s ( 26 ) variational Bayesian mixture model, MAFtools’ ( 29 ) Gaussian mixture, and PyClone’s ( 30 ) beta-binomial emission densities.

    Article Title: A BAYESIAN NONPARAMETRIC MODEL FOR INFERRING SUBCLONAL POPULATIONS FROM STRUCTURED DNA SEQUENCING DATA
    Article Snippet: Sciclone uses a hierarchical Bayesian mixture model to infer subclonal populations ( Miller et al., 2014 ).

    Variant Assay:

    Article Title: Methods and systems for determining somatic mutation clonality
    Article Snippet: .. One existing method, SciClone, uses the variational mixture model to determine variant allele frequency by clustering VAFs and determining the probabilities of variants belonging to one or more clusters. .. However, the clustering of SciClone does not account for the average copy number at the mutation locus, the copy number of the variant allele, or the tumor purity level.



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