Sentence examples for most important microarray from inspiring English sources

Following a literature search of the most important microarray experiments relating to breast cancer prognosis, 250 candidate genes were selected.

Identification of differentially expressed genes from microarray datasets is one of the most important analyses for microarray data mining.

The identification of potential cancer biomarker genes is one of the most important aims for microarray analysis and, as such, has been widely targeted in the literature.

A high feature-to-sample ratio is one of the most important problems in microarray research leading to an inflation of α values [ 35].

The most important disadvantage of microarray technologies resides in the non-quantitative nature of this method, which, therefore, requires further experimental validation.

Identifying those patterns and the corresponding genes is one of the most important steps of microarray analysis to reveal the novel functions of genes, transcription factor-target relationships, and concerted gene functions in pathogenesis [ 1- 3].

The most important that both microarray data and TaqMan Real-time PCR array data demonstrate significantly decreased expression of FAK in FAKsiRNA cell lines compared to the control group, and these data together with decreased tumorigenesis in vivo support the critical role of FAK signaling in breast tumorigenesis.

One of the most important applications of microarrays is the identification of disease causing genes.

Perhaps the most important contribution of microarrays to breast cancer research has been the identification of gene sets that are predictive of patient outcome in breast cancer [ 5, 10- 14], with an accuracy that surpasses traditional predictive factors.

Array design is often considered the most important process in any microarray experiment and can be the deciding factor in the success of a study.

One of the most important requirements for a microarray platform is good reproducibility.