Sentence examples for exploit gene expression from inspiring English sources

Starting from a background network of interaction and regulation links, including the data of [7], they used a variant of the MATISSE machine learning algorithm [8] in order to exploit gene expression data for an extension of the network, yielding a network of 299 genes.

Recently, efforts to exploit gene expression profiling have been made to identify gene sets, or so-called gene signatures, that can improve diagnosis and risk stratification (Bild et al, 2006).

By exploiting gene expression profiling, Segal and colleagues constructed a functional module map for cancer to investigate commonalities and variations between different types of tumor [42].

This model was based on a similar modelling strategy, i.e. it also exploits gene expression data and uses a set of prior knowledge.

On the other hand, methods that exploit gene-expression profiles, functional annotations and signaling pathways exist but have primarily been developed for specific disease-classes, and therefore fall short in generalizing to new diseases.

We can exploit current gene expression profiling models, but we need to examine more genes to see if there are gene-specific or region-specific compensation rules, determine the nature of variable compensation responses, and map out the propagation pathways to determine if they represent coherent biological pathways.

The advent of transcriptome sequencing has yielded a huge amount of transcribed sequence data, such as expressed sequence tags (ESTs) that can be exploited for gene expression profiling, genome annotation, comparative genomics and physical mapping.

This barrier activity may be exploited in gene expression studies to protect transgenes from epigenetic gene silencing.

Recently, Dudley et al. (2011) and Sirota et al. (2011) have presented drug repositioning methods exploiting public gene expression data.

GibbsOS is a method that exploits both gene expression data and motif binding information to identify foreground genes from a possible large pool of genes.

Some approaches have nonetheless been developed to exploit information from gene expression data using models.