Dataset: Transcription profiling by array of human A2780 ovarian cancer cells after treatment with two different compounds to validate the D2Dsum algorithm

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

Species:

human

Samples:

45

Source:

E-GEOD-9826

PubMed:

21778528

Updated:

Dec.12, 2014

Registered:

Sep.22, 2014