Sentence examples for mixture model method from inspiring English sources

For each dataset, the expressed genes were then identified using a Gaussian mixture model method as previously described (17).

Here we elected not to use traditional three standard deviations above established control sera but have used a mixture model method which has previously been used for defining sero-positivity to measles and rubella [ 42- 44].

Recently, many FDR estimation methods have been proposed, such as Significance Analysis of Microarrays (SAM) (Tusher et al. 2001), the empirical Bayes (EB) method (Efron, 2001), and the mixture model method (MMM) (Pan et al. 2003).

Since the mixture model method used only SNPs in 3'UTR, while the genome filter method used all SNPs along the expressed gene locus (from 5' to 3'UTR), the discrepancy could also be caused by different 3'UTR usage or overlapping neighboring genes.

From the mixture model methods, we have chosen Pathoscope.

We also account for rates-across-sites using standard discretized gamma mixture model methods.

To explore this issue we normalize 125 samples in TRANSBIG+ with MAS5 and apply the mixture model methods to calculate thresholds for the AP4 genes and a MAS5 version of the AP4+/- partition.

Public and proprietary data are automatically analyzed with 3 distinct methods, RMA, dChip and MAS5, then clustered using 2 different K-means and 1 mixture models method.

We chose the DPC, K-means and mixture models methods because of their robustness in clustering large datasets.

Furthermore, RETINOBASE provides a platform for the comparison of different analysis scenarios based on various normalization methods, such as RMA [ 10], dChip [ 11], MAS5 [ 12], and clustering methods, such as the K-means [ 13] and mixture models methods [ 14].

In contrast to the logistic regression approach that works on dichotomous outcomes of large for gestational age, the mixture modelling method attempts to model directly the birth weights, which are more informative relative to dichotomized outcomes for examining effects of risk factors.