Sentence examples for based on gene array from inspiring English sources

In addition, an analysis of existing well-characterised mutants and the generation of new allelic replacement mutants based on gene array data coupled to transposon screens was carried out to identify loci important for survival.

The suggestion of increased lipid biosynthesis based on gene array data in GW501516-treated animals was consistent with increased fatty acid and phospholipid levels, and correlated with increased tumorigenesis (Table 3), despite the differences in specific metabolites between the two groups.

Interestingly, we found FOXO3A to be underexpressed (based on gene array) in MCF-7 xenograft tumors that had developed resistance to tamoxifen [ 54].

JD provided assistance in RT-qPCR, microarray and PCR array experimental design and provided statistical analysis and figures for data based on gene array experiments.

The aim of the present work was to study (1) whether the six HDACi can be recognized as a homogeneous group based on gene array data, (2) whether the alterations they induce can be differentiated from those caused by mercurials and (3) whether a classifier can be constructed based on a support vector machine.

To gain insight into frequencies of sample annotation discrepancies in publicly available gene expression datasets, we established a male female classifier based on gene expression array data.

With the development of microarray technology, novel potential therapeutic targets as well as diagnostic and prognostic biomarkers have been identified based on gene expression array analyses.

Nevertheless, a more refined breast cancer classification system has been developed over the past 15 years, integrating information based on gene expression arrays.

For each normalization method, filtering was based on gene variance across arrays.

The University of California, Davis, led a National Science Foundation NSFF) supported effort to design, print and validate 22K and 45K oligonucleotide arrays based on gene model predictions from TIGR's osa1 version 3.0 release.

The position-dependent scoring matrix for the 14 bp motif was used as input to the MAST algorithm to search similar motifs in a 20 kb upstream region and in the first intron of 10 candidate genes, including ptc1, candidate genes were selected based on gene ontology associations, to cover a wide array of cellular and developmental processes.