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Recent evidence from microarray data argues that much of the malignant potential of neoplastic cells is a result of either somatic initiating mutations or constitutional polymorphisms present in normal tissue.
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But some data argue otherwise.
The issue of appropriate noise models led to an ongoing discussion, with Giles and Kipling (2003) arguing that microarray data are Gaussian distributed.
Interestingly, the observation that both qPCR and microarrays reported a high level of ELANE expression for this outlier argues for the effectiveness of qPCR to validate microarray data.
We also argue that the potential of applying fuzzy-based techniques to microarray data analysis need to be further explored.
This may indicate that preprocessing of the data can have a significant effect on the detection resolution of an individual genomic microarray experiment and argues for a significant effort to be made in this field of genomic microarray data analysis.
Human microarray platform, GPL1528; human HCC microarray data, GSE1898; mouse microarray platform, GPL1529; mouse HCC microarray data, GSE1897.
Saldana, A.J. Java Treeview - extensible visualization of microarray data.
Impute: impute: Imputation for microarray data.
microarray data reproduced, but some concerns remain.
Ball, C.A. et al. Standards for microarray data.
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