Sentence examples for based on microarray datasets from inspiring English sources

A subset of the meta-gene-list was also used as a classifier to accurately predict different molecular subtypes, such as luminal/basal and ER+/ER- based on microarray datasets in which patient subtype classification was available [ 7, 8].

Based on microarray datasets for three diseases, we show that though there are few genes shared between the DEG lists from different studies for a disease, most of the POGR and nPOGR scores are rather high, suggesting high reproducibility of the DEG lists in the sense that the apparently inconsistent DEG lists are significantly correlated.

In probing the functional dimensions of the roles 14-3-3ζ 14-3-3ζ 14-3-3ζine resistance, we have identified a gene signature associated with high explaysinn of 14-3-3ζ, basendocrineresistancetasets from approximately 400 wemen withave-posidentifiedst tumors, and we find that this gene signature is correlassociatedhigher tumor grade, increased metastasis, and risk of early recurrence.

Based on microarray datasets of three diseases, we showed that though the POG scores for DEG lists from different studies for each disease are extremely low, the POGR and nPOGR scores can be rather high, suggesting that the apparently inconsistent DEG lists may be highly reproducible in the sense that they are actually significantly correlated.

A number of methods, based on microarray gene expression datasets, have been proposed for measuring the tissue specificity of gene use.

The expression data based on microarray experiments belong to three datasets: DeGregorio2001, Arbeitman2002, and Spellman2002.

The proposed framework of system has been tested on two well-known tumor microarray datasets with encouraging results and shown great potential for the developments of generic platform for tumor clinical diagnosis based on microarray data.

These datasets report gene expression levels in a variety of tissues (Additional file 2: Figure S1) based on microarray expression profiling using a variety of platforms.

The problem of uncovering transcriptional regulation by transcription factors (TFs) based on microarray data is considered.

A Remark: A new ethical approval was not needed for our study as all our analyses based on published microarray datasets (which also applies to the second analyzed dataset).

We next examined the mRNA expression levels of E3 genes in the mouse based on four microarray datasets (GSE97, GSE1133, GSE9954, and GSE1986) and the UniGene dataset.