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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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Article Title: Principles of Reconstructing the Subclonal Architecture of Cancers
Article Snippet: Alternatively, SciClone uses a variational Bayesian mixture model that does not require a Markov chain Monte Carlo approach, but does require specification of the number of clusters ( Miller et al. 2014 ).

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 graph-based algorithm for estimating clonal haplotypes of tumor sample from sequencing data
Article Snippet: SciClone adopted a variational Bayesian mixture model to provide a global estimation of clonal architecture across all of the given copy-number neutral regions [ ].

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 ).

Article Title: NOTCH 1 pathway activating mutations and clonal evolution in pediatric T‐cell acute lymphoblastic leukemia
Article Snippet: Intrasample subpopulations were estimated using a hierarchical Beta Binomial emission model implemented in PyClone and the variational Bayesian beta mixture model in SciClone as described previously., Mutations in indels, for which VAFs were poorly estimated, were not used for the analysis.

Article Title: The clonal evolution of metastatic colorectal cancer
Article Snippet: SciClone could mitigate this effect as its variational Bayesian beta mixture model could fit clusters of variants with dispersed VAFs.

Variant Assay:

Article Title: Mutational Intratumor Heterogeneity is a Complex and Early Event in the Development of Adult T-cell Leukemia/Lymphoma
Article Snippet: The output consisting of CNAs and SNVs detected within coding regions was used as input for SciClone. .. Clonal analysis was performed with a > 10% variant allele frequency (VAF) threshold using a variational Bayesian mixture model implemented by SciClone. ..

Article Title: Engineered in-vitro cell line mixtures and robust evaluation of computational methods for clonal decomposition and longitudinal dynamics in cancer.
Article Snippet: Miller and co-authors5 introduce SciClone, a method for estimating the number and composition of clusters of mutations across one or more samples. .. SciClone uses an approach based on a variational Bayesian Beta mixture model to cluster primarily variant allele frequencies (VAFs) from heterozygous and diploid loci. ..



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