Sentence examples for multiple microarray datasets from inspiring English sources
This down-regulated expression of USP33 was observed in multiple microarray datasets of lung cancer and confirmed by qRT-PCR and immunohistochemical analysis.
We introduce the novel concept of a "frequent temporal association pattern" (FTAP): a set of genes simultaneously exhibit complex temporal expression patterns recurrently across multiple microarray datasets.
We utilized multiple microarray datasets obtained from undifferentiated ESCs and differentiated EBs of human and mouse for cross-species examination of transcriptional co-expression.
The purpose of this study was to extract and evaluate such seasonal gene expression characteristics from the existing multiple microarray datasets using the goldfish model.
Multiple microarray datasets were analyzed to determine the correlation between FoxM1 and PTTG1 mRNA levels.
Here we investigate the properties of weighted gene co-expression networks formed from multiple microarray datasets.
Therefore, reuse, pooling, and integration of multiple microarray dataset are attractive approaches.
Pooling and integration of multiple microarray dataset are attractive to increase the number of sample in order to enhance statistical power.
The same two genes also showed high expression in root tissues in multiple microarray transcriptomics datasets as well.
In the present study, on the basis of multiple goldfish microarray datasets, we used comprehensive normalizations, differential gene expression identification, multivariate and gene ontology (GO) analyses to characterize the season-related expression patterns in the female goldfish brain.
Since the identification of regulatory pathways is significantly influenced by those differentially expressed genes from different datasets or different statistical methods, an integration of multiple cancer microarray datasets and identification of the most common pathways from these data would reveal key relationships between crucial genes in carcinogenesis.
