The Pharmacogenomics Journal - Database designs for microarray data. Skip to main content. ... Broadly speaking, there are four types of activities that array data need to support.

Each spot on a microarray contains a specific gene sequence. When the array is scanned, green or red spots indicate expression of the gene in only one sample, and yellow spots indicate expression ...

2.1. Data Curation: Gene Expression Omnibus. For our meta-analysis, we focused on influenza infection and vaccination. We searched public database repositories such as Gene Expression Omnibus (GEO) () ...

Microarray data present a number of challenges to statistical modeling. The size of the typical array (up to thousands of columns and perhaps hundreds of rows) defies easy graphical analyses. There ...

X. Zhou, X. Wang, and E. R. Dougherty, (2003) Binarization of microarray data on the basis of a mixture model, Molecular Cancer the Rapeutics, 2(7), ... a second reason for high performance from the ...

Abstract: Microarray experiments are affected by several sources of variability. The paper demonstrates the major role of the day-to-day variability, it underlines the importance of a randomized block ...

M. Rattray, X. Liu, G. Sanguinetti, M. Milo, and N. Lawrence, (2006) Propagating uncertainty in microarray data analysis, Briefings in Bioinformatics, 7(1), 37–47. ... a second reason for high ...

Microarray data allows monitoring of thousands of genes simultaneously in one experience; arrays are applied to understand gene expression. Gene expression synthesizes proteins, which perform ...

In microarray data there are a number of biological samples, each assessed for the level of gene expression for a typically large number of genes. There is a need to examine these data with ...