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We have determined the ABCB7 gene expression levels from our microarray dataset on CD34+ cells in 122 MDS patients and 16 healthy controls.
We have investigated the expression levels of the ABCB7 gene using data from our large microarray dataset on CD34+ cells from MDS patients and healthy controls in order to determine whether the ABCB7 gene is implicated in the common acquired sideroblastic anemia, RARS.
We used a large scale microarray dataset on gene expression in bone marrow-derived DCs after stimulation with various TLR stimuli [ 9].
These software tools are based on superimposing a single microarray dataset on a biochemical pathway database, in order to visualise the expression of each individual gene per pathway and thus establish the state of individual pathways.
To determine RNA expression patterns of stromal CXCL1, we analyzed the microarray dataset on invasive breast cancer stroma generated by Finak et al., which was comprised of 53 cases of invasive breast carcinoma and 6 cases of normal breast samples [ 9].
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First, the effects of different types of microarray datasets on the performance of each imputation algorithm were evaluated.
Sixteen microarray datasets on auxin treatment influences from published experiments (Table 2) were taken from the GEO database.
For both root and leaf development, the protein-protein interaction datasets did not have much influence at all compared to the microarray datasets on any of the pairs.
We adopted a meta analysis approach for four publicly available microarray datasets on papillary thyroid carcinoma (PTC) nodules versus nodular goitre (NG) from N2-frozen tissue.
As more and more microarray datasets on the same species are produced from different laboratories, their integration leads to more robust and more reliable results.
Available microarray datasets on male and female A. gambiae sex biased expression [ 26, 42] were downloaded from the GEO data repository of NCBI or used as provided in the original publication [ 31].
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