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This article includes Supplementary tables and figures http://www.interscience.wiley.com/jpages/0270-9139/suppmat/2004/39/v39.944.html

FilenameFormatSizeDescription
suppmat_944_fig1.eps3701KHierarchical cluster analysis of 218 genes that show differential expression between HCC tumor and non-tumor liver tissues from 37 patients (P<1x10-6, =1.5-fold change). As comparison, the same gene information from 14 different liver cancer cell lines was aligned. Rows represent individual genes, columns represent unique samples. Each cell in the matrix represents the expression level of a gene in an individual sample. The red and green color bars reflect high and low expression levels respectively, while black indicates equivalent expression level. The magnitude of the log-transformed ratio is reflected by the degree of color saturation.
suppmat_944_fig1B.eps6081KHierarchical clustering of 37 pairs of HCC tumor and nontumor liver samples using the 500 most variable gene features separated the tissues into two main groups, tumor and nontumor. Rows represent individual genes, columns represent unique samples. Each cell in the matrix represents the expression level of a gene feature in an individual tissue sample. The red and green color bars reflect high and low expression levels respectively, while black indicates equivalent expression level. The magnitude of the log-transformed ratio is reflected by the degree of color saturation.
suppmat_944_fig6.eps3799KSupporting Information file suppmat_944_fig6.eps
suppmat_944_fig7.eps6264KSupporting Information file suppmat_944_fig7.eps
suppmat_944_table1.xls56KGenes significantly differentially expressed between HCC tumor and nontumor liver tissues.
suppmat_944_table2.xls93KComposite of UniGenes that overlapped in the intersection between Chen et al 600 significant gene list and GIS microarray expression dataset.
suppmat_944_table3.xls76KComposite of UniGenes that overlapped in the intersection between GIS 218 significant gene list and Chen et al microarray expression dataset.
suppmat_944_table4.xls35KComposite of UniGenes that overlapped in the intersection between GIS and Chen et al significant gene lists.

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