Sentence examples for using a microarray dataset from inspiring English sources

Using a microarray dataset of ovarian cancers, the OCCC signature comprising 437 genes was identified [ 40].

We tested these weighted enrichment approaches using a microarray dataset from that that compares C. Pneumoniae infected dendritic cells and mock-infected controls [ 30].

For these studies we initially interrogated the relative elafin mRNA expression in 48 breast cancer cell lines and two HMECs using a microarray dataset [ 23].

We used a microarray dataset consisting of 22 different murine tissues, with 3 5 replicates for each tissue (in total 70 microarrays).

Finally, we used a microarray dataset for yeast Saccharomyces cerevisiae that demonstrated the scalability and precision of QAPgrid and its possibility as a novel tool for functional genomics.

In this study, we used a microarray dataset generated in earlier work [5] to identify cyclic genes associated with the mouse segmentation clock.

We purposefully used a microarray dataset where patients received no adjuvant systemic therapy so as not to confound the survival data with the use of chemotherapeutics or estrogen receptor antagonists.

First, we used a microarray dataset obtained from the analysis of several human wild-type and cancer tissues [ 12].

Our current analysis uses a microarray dataset of 246 early- stage breast cancer samples, all of whom were classified as estrogen receptor (ER) positive and had received adjuvant tamoxifen monotherapy only.

With these criteria in mind, we decided to use a microarray dataset [ 17] (GSE4051), which profiles gene expression in isolated rod photoreceptors at multiple developmental stages (E16, P2, P6, xP10, 4-weeks) in both Nrl-knockout and wild-type mice.

The possibility of using this gene signature for early detection of lung cancer and predict tumor subtypes was evaluated using a published microarray dataset of large-airway epithelium taken by bronchoscopy from cigarette smokers with suspicion of lung cancer [ 7].