Sentence examples for microarray to infer from inspiring English sources

Utilizing single-nucleotide polymorphisms (SNPs) between two Nasonia parasitoid wasp genomes, we developed a SNP genotyping microarray to infer a high-density linkage map for Nasonia.

We then used datasets from physical interaction assays, RNAi and microarray to infer Ae. aegypti proteins associated with dengue infection.

Is it therefore legitimate and possible to use the red blood cell's microarray in addition to the platelet's microarray to infer the platelet's network?

A more ambitious approach has been to use observational microarray experiments to infer which genes are driving the observed expression patterns [2] [4].

We use hundreds of microarray experiments to infer the nature of the regulatory interactions among genes, and implement these data into the Boolean models of the genetic networks.

Finally, an appealing direction for future work would be the use of the proposed approach on a large dataset, consisting of thousands of microarray experiments to infer the state of individual pathways in terms of activation and subsequently apply association rules mining between biochemical processes in an effort to elucidate pathway regulation and interaction.

Oh et al. (2009) used microarray data and ChIP-chip (fragments from chromatin immunoprecipitation were localized by hybridization on microarrays) data to infer that, of the 748 Arabidopsis genomic binding sites occupied by PIL5, 166 genes were upregulated in light directly by PIL5.

An effective data mining tool for gene expression microarray data is to infer relatedness among genes based on their expression profile, a tactic referred to as the "guilt by association" (GBA) principle [8] [12].

The statistical goal of microarray analysis is to infer relationships between biological variables and individual probes or sets of probes.

Genome-wide monitoring of transcription by means of DNA microarrays is used to infer transcriptional and regulatory networks in living organisms.

The method was subsequently used alongside yeast one hybrid and microarray time series data to infer potential transcriptional switches in Arabidopsis thaliana response to stress.