Sentence examples for microarray data represented from inspiring English sources

Liao and Zhang's method was based on a subset of the microarray data, represented by the expression profiles over 26 human-mouse common tissues.

The microarray data represented a wide variety of experimental conditions, including developmental stages, abiotic and biotic stress conditions, light/hormone/chemical treatments and genotypes/mutants/transgenics.

Transcripts such as Itgb1 that exhibited less than 1.5-fold change in our arrays were also confirmed with qRT-PCR, providing further evidence that the microarray data represented authentic gene expression data.

Microarray data representing human week 16 fetal testis [31]were obtained from NCBI GEO using GEO accession number GSE15431.

Probe set selection from microarray data representing tissue samples may be significantly affected by differences in the cell type content of the normal and dysplastic mucosa (Table 1).

Hence, we performed an additional analysis, by using microarray data representing human fetal testis at 16 weeks of gestation [31], when the testis contains a fetal population of Leydig cells active in steroidogenesis, in addition to peritubular cells, immature Sertoli cells, and spermatogonial stem cells.

Microarray data representing different experimental conditions can be selected from the hierarchical tree of experiments/arrays or ontology terms.

Therefore, a large amount of microarray data representing many different biological conditions has accumulated over recent years.

However, if the microarray data represents multiple groups (e.g. four different types of cancer) you may be more interested in absolute expression differences between the groups.

A retrospective cohort study compared microarray data representing the first 24 hours of admission for 179 children with septic shock with those of 53 age-matched normal controls.

To further clarify the detailed roles of TaCIPK and TaCBL in seed germination, we analyzed public microarray data representing the transcription patterns during seed germination.