A study of inter-lab and inter-platform agreement of DNA microarray data.

ABSTRACT: As gene expression profile data from DNA microarrays accumulate rapidly, there is a natural need to compare data across labs and platforms. Comparisons of microarray data can be quite challenging due to data complexity and variability. Different labs may adopt different technology platforms. One may ask about the degree of agreement we can expect from different labs and different platforms. To address this question, we conducted a study of inter-lab and inter-platform agreement of microarray data across three platforms and three labs. The statistical measures of consistency and agreement used in this paper are the Pearson correlation, intraclass correlation, kappa coefficients, and a measure of intra-transcript correlation. The three platforms used in the present paper were Affymetrix Gene

SUBMITTER: Wang H 

PROVIDER: S-EPMC1142313 | biostudies-literature | 2005 May

REPOSITORIES: biostudies-literature