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Transcription profiling of human A2780 ovarian cancer cell lines treated (TRT) with two compounds (A and B) vs. untreated (CTRL) sampled at 6 different time points and processed on different days to summarize probe levels of Affymetrix arrays taking into account day-to-day variability


ABSTRACT: Day-to-day variability in microarray experiments is a recognized source of variation that can impede the analysis of large microarray studies where samples are processed on different days. In this study, we have applied an algorithm, called D2Dsum, which is based on a log-linear fixed effect model to cope with this kind of issues on a data set of 45 microarrays. Experiment Overall Design: A2780 human ovarian cancer cell lines have been treated (TRT) with two different chemical compounds (A and B) or left untreated (CTRL). RNA was collected form 1 to 6 hour every hour. For each time point a technical duplicate or triplicate has been performed. Samples were subjected to complete randomisation experimental design and the effect of hybridisation day has been evaluated. Experiment Overall Design: processed on 4 different days

ORGANISM(S): Homo sapiens

SUBMITTER: Roberta Bosotti 

PROVIDER: E-GEOD-9826 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Summarizing probe intensities of affymetrix GeneChip 3' expression arrays taking into account day-to-day variability.

Magni Paolo P   Simeone Angela A   Healy Sandra S   Isacchi Antonella A   Bosotti Roberta R  

IEEE/ACM transactions on computational biology and bioinformatics 20110901 5


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 design when processing replicates over several days to avoid systematic biases and it proposes a simple algorithm that minimizes the day dependence. ...[more]

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