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The standardized distributions for DBH and HT are shown in Fig. 3. Species are then assigned to the resulting standardized DBH-HT pairs using a finite mixture distribution (Zhang et al. 2001; Liu et al. 2002) based on relative DBHs of the species mixtures.
Each group can be modeled using a finite mixture model or a DP.
Ghosh and Chinnaiyan [ 2] proposed a mixture model-based approach to classify genes based on the expression of independent samples corresponding to melanoma or prostate cancer diagnoses using a finite mixture of multivariate Normal distributions.
Accordingly, we first categorize the comparable SNPs based on the sequencing coverage counts (rescaled after library size adjustments) using a finite mixture of univariate Poisson distributions, and subsequently search for AEI signals within each group of comparable SNPs by fitting a folded Skellam mixture model to the absolute values of rescaled read differences.
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We use a finite mixture model in this study.
In one such example, however, Siegmund et al. (2006) used a finite mixture model to estimate the association between exposure and latent disease subtype measured by DNA methylation profiles and compared these results with a simpler two-phase approach, first clustering the DNA methylation data and then relating these clusters to exposure using logistic regression.
Taslim et al. developed DIME that takes normalized differences of ChIP-seq counts in each genomic bin as input and used a finite mixture model (non-differential, negative/positive differential) to identify genes with differential binding for a specific protein in two conditions [ 18, 19].
Pyne et al. [ 24] use a finite mixture of skew and heavy-tailed multivariate distributions fitted with an EM algorithm and validated the approach on lymphoblastic cell lines and regulatory T cells.
We model each dataset using a finite approximation to a DP mixture model (Ishwaran and Zarepour, 2002), known as a DMA mixture model (Green and Richardson, 2001).
The motion of the continuous phase (a mixture of liquid and gas bubbles) is solved using a finite difference method in an Eulerian framework.
Language is a way in which an infinite number of meanings can be expressed by a finite number of symbols using a finite number of rules.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com