"It allows you to view gene-expression data within the context of the genomic structure," says Gavin Sherlock, the Stanford University geneticist who oversaw Ihab Awad, the program's primary author.

Microarray experiments are providing unprecedented quantities of genome-wide data on gene-expression patterns. Although this technique has been enthusiastically developed and applied in many ...

Linkage of gene expression data to other online sources of information supports the biological interpretation of expression patterns. Examples include links to reference utilities, such as the ...

DNA Microarray Technology, Data Mining Help Researchers Differentiate Among Patients with Multiple Sclerosis; About Us. Historical Overview of the Institute; ... do it by converting the numeric ...

Methods: TM4: a free, open-source system for microarray data management and analysis was used in order to identify expression patterns of interest in our cohort of renal cell carcinomas (RCC) (n=80).

SC vectors simultaneously rearrange gene (U) and sample (V) data matrix into distinct bipartite/checkerboard patterns, with blocks of high and low expression (Data Supplement). When using ...

Novel analyses improve identification of cancer-associated genes from microarray data. ScienceDaily . Retrieved May 14, 2025 from www.sciencedaily.com / releases / 2014 / 05 / 140502130235.htm ...

The year before, Walter Lukiw and colleagues at Louisiana State University in New Orleans reported microarray data of hippocampal CA1 from AD patients (Colangelo et al., 2002). These scientists found ...