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All results taken together indicate that there is not only a strong correlation between good prognosis and the absence of distant metastasis or death [ 13], but the findings generated using the more complex microarray platform were nearly perfectly reproduced using the customized mini-arrays, and demonstrate the robustness of the MammaPrint 8-pack mini-array test.
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To investigate secondary drug effects, wild-type yeast strains were exposed to higher doses of FK506 and CsA, leading to much more complex alterations in microarray expression profiles.
Discriminative markers underwent unsupervised hierarchical clustering analysis with average and complete linkage (Genesis 1.5.0; IGB-TUG, Graz, Austria) to organise tissue microarray score data into meaningful structures, in accordance with the more complex method used for cDNA microarrays (Weigelt et al, 2005).
In addition, the HTS data showed that the recombination event was more complex than indicated by the microarray data.
Not only a larger number of individuals studied, but the correlation structure from adjacent probes on the microarray is more complex, peaks are expected to be more variable in size and shape and in certain applications more numerous (requiring different approaches for multiple comparisons) and there can be more serious measurement error problems.
This is largely due to the more complex design of the Affymetrix microarrays, including the presence of distinct oligonucleotides in a probe set and mismatch probes, which are handled differently.
The hybridization on microarray surface is more complex then hybridization in solution and the NN model should include surface and positional parameters for more accurate modeling [ 17, 18].
The initial development of Chado focused on genome sequence data, but as more complex data was generated, such as microarray and expression data, new modules were added to accommodate new data types.
Finding significant biclusters in a microarray is a much more complex problem than clustering [ 17].
Summary: The MAGE-TAB format for microarray data representation and exchange has been proposed by the microarray community to replace the more complex MAGE-ML format.
Researchers may also want to manage and integrate qualitative phenotypes or more complex phenotypic data, such as expression data from microarray experiments.
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