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Currently, many machine learning feature selection methods applied to microarray data explicitly eliminate genes which are redundant, in terms of discriminative or predictive value, with an existing set [ 1- 8].
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Interestingly, this study used microarray data to explicitly quantify heterotypic interactions between the cancer and stromal cells in vitro, and this approach could be applicable to leukocytes.
To our knowledge, we are the first to explicitly state a goal for microarray data normalization.
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.
Quackenbush, J. Microarray data normalization and transformation.
Saldanha, A.J. Java Treevisualizationble visualizatiof of microarray data.
The mRNA microarray data obtained our previous microarray data of CAFs and NFs.
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