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Prostate cancer microarray classification between primary prostate tumor (PT) samples and metastatic (MT) samples by using terrain-based visual analytics approach. The terrain model derived from a PC-specific protein interaction network containing 2637 proteins and 5772 interactions. 24 gene expression profiles (12 PT samples and 12 MT samples) are randomly selected from a microarray dataset GSE6919 in GEO. The only one PT sample classified incorrectly is marked.
