Sentence examples for mixture model pipeline from inspiring English sources
Our mixture model pipeline classifies ten subject-and-tissue-specific SNPs on this gene into AEI signal components.
On the other hand, 90 SNPs identified by the whole gene filtering method failed to be detected in the mixture model pipeline.
For example, the 592 SNPs identified by the mixture model pipeline with AEI were not identified by the alternative method, likely because their limited coverage or SNP calls across the gene.
To present the potential of decomposing signals from RNA-seq data using the mixture model pipeline, we consider the dataset described above in which we focus only on pairs of counts with at least 3 reads for the allele with lower expression (min(R, V) ≥ 3) and exclude intergenic SNPs.
The mixture model pipeline scans for AEI signals at the SNP level, while the whole gene filtering method scans for AEI signals at the gene level; 2. For the whole gene filtering method, the read ratios of SNPs in all genetic regions (3' UTR, exon, intron, and 5' UTR, etc).
3. SNPs are not called in the whole gene filtering method if the corresponding genes have only one SNP expressed, while these SNPs are still used and classified in the mixture model pipeline as long as both the reference and variant allele read counts are above 3 (the predetermined threshold).
The remaining 10,085 SNPs included 10%% uncertain AEI signal SNPs and 84%% no AEI signal SNPs To investigate further the behavior of our mixture model based AEI detection pipeline, we additionally analyze SNPs designated as having AEI despite a low ratio between the alleles and those designated as not having AEI despite a high ratio between the alleles.
After normalizing the RNA-seq dataset (see pipeline step 1), we fit the Poisson mixture model and find the optimal number of seven components using the BIC criterion.
The Infinite Gaussian Mixture Model.
Their new model pipeline has been anemic this year".
It involves modeling each pixel as a separate mixture model.
