Sentence examples for for follow-up validation from inspiring English sources

Analyzing GWA studies in the context of selection can complement and augment the standard p-value of association and aid in the identification and characterization of causal loci for follow-up validation studies.

Insights into the selective pressures acting on disease-associated SNPs inferred from GWA studies offer a novel perspective that promises to augment the biological interpretation of the results and potentially serve as a complementary method for prioritizing disease-associated SNPs for follow-up validation studies.

Multiple genomic features enable us to prioritize the gene aberration for follow-up validation studies.

Thus, we demonstrate that Cake may be used to help prioritize somatic SNVs calls for follow-up validation.

Given its performance on the single knockdown prediction task, the ranked list of pairs identified by SDREM can serve as a starting point for follow-up validation experiments.

Overlapping gene expression modules shared between GEMM and human signatures represent potential points of therapeutic interrogation and provide key substrate for follow-up validation and drug discovery efforts.

There is a strong need to review and integrate multi-dimensional data for follow up validation.

Pacific Biosciences RS data performed well by all metrics, and at a similar quality to Illumina data, demonstrating that the RS is a powerful tool for follow up validation or extension.

The 208 KD patients for the follow-up validation study were recruited from China Medical University Hospital in Taichung, National Taiwan University Hospital in Taipei, Changhua Christian Hospital in Changhua, Taipei Veterans General Hospital in Taipei, and Chang Gung Memorial Hospital in Kaohsiung and Linkou, Taiwan.

Notably, our study identified MMP-1 as the most upregulated marker gene for breast cancer, opening up the possibility, after follow-up validation studies, for its use as a putative predictive marker in screening for breast cancer.

To reduce the false positives due to this random noise, we used sample pooling for our discovery array, and performed the follow-up validation by analyzing a larger number of well-matched individual samples.