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Despite the low coverage of this study (∼0.8× raw sequence coverage and between 2.39× and 5.05× indel coverage per lane), we still detected a lot of variation; our results compare well with previous microarray studies designed to detect copy-number variants.
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YW provided assistance in microarray study design and data analysis.
LDB normalized the microarray data and provided input into the microarray study designs.
IH participated in the microarray study design and drafting of the manuscript.
This is a much larger number of samples than is frequently used in human microarray case-control studies designed to identify gene expression differences between two groups.
Microarray gene profiling studies, designed to detect letrozole-responsive targets, are currently under way to understand how the use of the drug can be tailored more efficiently to specific patient needs.
However, only a few microarray studies were designed to investigate human tissue-selective gene expression.
A GeneChip microarray study was designed to compare gene expression profiles of BZA to that of other SERMs, raloxifene (RAL) and lasofoxifene (LAS).
To enhance our knowledge on the impact of IL-17 alone and combined with TNF-alpha in primary murine hepatocytes a comprehensive microarray study was designed.
All these previous microarray studies were originally designed for the identification of differentially expressed genes between normal and malignant tumor tissues for that specific type of cancer.
(Many microarray studies are not designed to partition out the sources of variability and thus, if such sources are important, could provide misleading inference.
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