Sentence examples for between genomic data and from inspiring English sources

In this paper, we aim to discover new relationships between genomic data and macroscopic observations.

This excessive reductionism is exemplified in a study devoted to explaining the poor correlation between genomic data and disease outcome, where the success rate is only around 10.8%, which proposes to describe this "missing inheritance" as "phantom heritability".

If these scores are treated as continuous variables, as in standard GS linear models, the following assumptions do not hold: (1) the relationship between genomic data and phenotypes is linear; (2) phenotypes follow a normal distribution; and (3) the variance is constant and not a function of the expected value.

Although the pattern of amino acid usage and GC-content appeared similar between the genomic data and simulated data, we found significant differences between them for the majority of the amino acids (Table S7).

ITEP's tree visualization capabilities provide an interface between a user's genomic data and the ETE Python package for tree manipulation and rendering [ 28].

The correspondences between the genetic and genomic data and the arguments deployed previously [ 29] and above (Results - other mutations in AS-30CQ) together suggest that only 3-4 major effect genes conferring CQ-R and CQ-hiR were fixed by strong selection (and cloning) during experimental evolution from AS-sens to AS-30CQ.

Dense marker genomes are now available, and Visscher et al. [ 5] proposed that the actual or realised relationships between sibs can be estimated from genomic data and the association between the actual relationship and phenotypic similarity used to estimate the genetic covariance within families, thereby eliminating correlations due to shared environment.

Model-fitting methods are based on the comparison between actual length distributions of microsatellites in genomic data and theoretical distributions generated through point mutations alone.

In order to overcome the variability of diagnostic or prognostic predictors from gene expression data and to increase its predictive power, we need to integrate multi-levels of genomic data and identify interactions between them associated with clinical outcomes.

In order to overcome the variability of diagnostic or prognostic predictors from gene expression alone and to increase its predictive power, we need to integrate multi-levels of genomic data and identify interactions between them associated with clinical outcomes.

In order to assess the significance in performance between the models of single level of genomic data and model of integration, the Wilcoxon singed-rank test was used (Table  3) [ 39].