Sentence examples for detection of the shared from inspiring English sources
Additionally, we experimentally validate the power and effectiveness of model free linkage analysis of SNP genotypes in the detection of the shared candidate regions.
Finally, the alignment of the data sets from different modalities in MPA imaging is simple and accurate because of the shared detection system.
A comprehensive analysis of the shared miRNA detection across platforms and a comparison of the most highly abundant miRNAs is described.
Our analysis also reveals that cell-type-biased gene expression and tissue heterogeneity are likely to hamper the detection of such shared signals, especially at the level of individual genes.
High sequence homology between these two families leads to the detection of multiple shared peptides, which can be attributed to more than a single protein.
We highlight the results from an actual field case study including multiple examples demonstrating immunity towards noise and compare the effectiveness of the workflow with two contemporary autopicking routines without the application of the shared detection/refinement procedure.
Detection of IntFams shared between any two of the three core species (Fig. S3A) but not the third could reflect a true difference or a false negative of transcript detection for the third species (possible due to insufficient coverage).
This helps with the detection of the origin of shared variations by using only read alignment information.
Results suggest that some graph indices such as the average vertex degree or Randic connectivity index have the ability to discriminate similar vs. dissimilar pairs of datasets and address several other common issues in cheminformatics such as detection of outliers, shared regions in chemical and property space, etc.
However, this 'subtraction' method using standard algorithms for SNV calling in single samples did not optimize the detection of shared germline polymorphisms by jointly analysing the two samples, nor were standard genotyping algorithms designed to detect variants at the low allelic fractions found in cancer samples.
The shift in the network analysis from the gwas-genes to their first-degree interactors made the detection of shared molecules possible even when no interactions were present at the gwas-level.
