Sentence examples for world gene from inspiring English sources

World gene banks store approximately 48,000 accessions of flax germplasm [ 30].

The result had shown that this method discovers gene network that can accurately fit on both artificial and real world gene expression data.

Applying our method to real world gene expression data, we took the publicly available gene expression dataset of Li and White (2003), as stored in the Gene Expression Omnibus database (Edgar et al., 2002).

In the vector world, genes serving existing functions can produce new high level functions (phrases, sentences, etc).

Ironically, in this new world, genes have a lesser role as we study ever more complex diseases and traits and begin to understand the interplay of gene-gene and gene-environment interactions and epigenetics.

Since keratinization helps protect the body by forming a barrier between the body and outside world, genes involved in keratinization evolve rapidly in response to changing environment (e.g., KRTAP4-5 showevidencence of positive selection in chimpanzee and hominids) [ 3].

We present experiments with artificial data and real-world gene expression data to evaluate the method.

These data supported our successful clinical trial application (CTA) to Health Canada and opening of a "first-in-the-world" gene therapy trial for Fabry disease.

Since parent-child correlations are present in certain real-world gene expression data sets where correlation-based algorithms have been successfully applied, we cannot conclude that measures of statistical dependence are a poor choice for reverse-engineering gene networks in general, only for this particular data set.

The hybrid PSO-RNN algorithm is applied to infer networks of interactions from two real-world gene expression data.

Measuring the extent to which the simulated sequence reflects the characteristics of real-world gene clusters is a statistical problem that we leave for future work.