Sentence examples for microarrays has allowed from inspiring English sources

The development of microarrays has allowed copy number analysis of the genome at a much finer resolution than was possible by cytogenetic analysis.

The analysis of gene expression profiles obtained with microarrays has allowed identification of gene sets, or genetic "signatures", that are strongly predictive of poor prognosis (see [1], [2] for a recent survey).

The advent of expression microarrays has allowed for the investigation of global gene expression changes after ligand treatment.

Analysis of leukocytes using microarrays has allowed the changes in immune function associated with exercise to be better understood [ 5, 7- 11].

The use of high-resolution technologies, such as microarrays, has allowed for the identification of new syndromes through a genotype-first approach at an unprecedented frequency never before imagined through the light microscope.

In recent years, development of DNA microarrays has allowed researchers to study the complete genome of an organism and profile transcriptional expression patterns of up to tens of thousands of genes in a single experiment [ 1- 3].

Microarrays have allowed gene expression profiling to progress from the gene level to the genome level, and oligonucleotide microarrays have become the platform of choice for large-scale, targeted gene expression studies.

Microarrays have allowed the exploration of many fields on a genomic scale.

In recent years, microarrays have allowed the identification and characterization of distinct breast cancer subtypes, namely, luminal A, luminal B, HER2 overexpressing and triple negative tumours.

Microarrays have allowed for the identification of numerous new syndromes through a genotype-first approach in which patients with the same or overlapping genomic alterations are identified and then the phenotypes are described.

Exactly as in the case of cell cycle genes, microarrays have allowed the accumulation of large amounts of data for circadian oscillations, and exactly as in the case of cell cycle, increasingly powerful statistical methods have allowed the discovery of an increasingly large number of genes with a circadian oscillation.