!Citation=Schaner ME, et al. (2003) Mol Biol Cell 14(11):4376-86 !Title=Gene expression patterns in ovarian carcinomas. !PubMedID=12960427 !Name=Schaner, M., et al. (2003) Figure 1 !ExptSetNo=2251 !Description=Ovarian_Cell_Lines !Name=Schaner M., et al. (2003) Figure 1 !ExptSetNo=2253 !Description=Unsupervised hierarchical clustering of ovarian cell lines and ovarian cancers. Cell lines were not co-clustered with the tumor specimens, because these cell lines have a very prominent proliferation cluster (Perou et al., 1999; Ross et al., 2000) that significantly influences the clustering of the tumor samples if the two sample sets are not analyzed separately. Ovarian cancer specimens and cell lines were clustered based on variation of expression of 1,558 genes, as detailed in Methods. Genes were clustered based on similarity in their expression patterns among these cancers. Eight gene clusters are highlighted in this display. (A) Lymphocyte cluster, (B) Epithelial/Keratin expression (C) Ascites Signature, (D) Clear cell over-expressed genes, (E) Extracellular Matrix/Stromal cluster, (F) Proliferation cluster, (G) Heterogeneity across ovarian cases, and (H) Clear cell under-expressed genes. The color contrast of the scale bar indicates the fold of gene expression change in log2 space (numbers above the bar). !Name=Schaner, M., et al. (2003) Figure 4 !ExptSetNo=2254 !Description=Clustering of breast and ovarian carcinoma cases. 68 breast and 57 ovarian cases were co-clustered to discern both similarities and disparities between the two sample sets. An ovarianspecific set of highly expressed transcripts was identified in comparison to breast across the 3363 transcripts. The color contrast of the scale bar indicates the fold of gene expression change in log2 space (numbers above the bar).