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| GSE11729_top8000 - GSE11729 - SiGN-BN NNSR | H1299 EGF and Iressa stimulation |
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| GSE12470_top8000 - GSE12470 - SiGN-BN NNSR | Gene expression profiles of serous ovarian cancer samples |
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| GSE12622_top8000 - GSE12622 - SiGN-BN NNSR | Tumor-associated stroma derived from primary clinical breast cancer samples (II) |
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| GSE12790_top8000 - GSE12790 - SiGN-BN NNSR | Gene expression profiling of human breast cancers and cancer cell lines |
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| GSE14206_top8000 - GSE14206 - SiGN-BN NNSR | Analysis of ETS gene expression patterns uncovers novel ETS mediated gene silencing pathways in prostate cancers |
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| GSE15966_top8000 - GSE15966 - SiGN-BN NNSR | Gene expression signature predictive of rapid response to imatinib mesylate in Gastrointestinal Stromal Tumor (GIST) |
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| GSE16120_top8000 - GSE16120 - SiGN-BN NNSR | Gene profiling, mutations and expression of epidermal growth factor receptor in androgen-dependent prostate cancer |
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| GSE19494_top8000 - GSE19494 - SiGN-BN NNSR | Subcutaneous adipose tissue (SAT) gene expression patterns between weight control and regaining weight subjects |
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| GSE21501_top8000 - GSE21501 - SiGN-BN NNSR | A six-gene signature predicts survival of patients with localized pancreatic ductal adenocarcinoma |
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| GSE24124_top8000 - GSE24124 - SiGN-BN NNSR | Major gene partners of a favorable biomarker in ER(+) breast cancer |
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| GSE29013_top8000 - GSE29013 - SiGN-BN NNSR | Robust Gene Expression Signature from Formalin-Fixed Paraffin-Embedded Samples Predicts Prognosis of Non-Small-Cell Lung Cancer Patients |
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| GSE29288_top8000 - GSE29288 - SiGN-BN NNSR | Comparison between cell lines from 9 different cancer tissue (NCI-60) (Agilent WG platform) |
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| GSE7604_top8000 - GSE7604 - SiGN-BN NNSR | Human Colon tumor vs Normal Human DNA |
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| GSE7606_top8000 - GSE7606 - SiGN-BN NNSR | Human Melanoma vs Normal Human DNA |
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| GSE9014_top8000 - GSE9014 - SiGN-BN NNSR | Tumor-associated stroma derived from primary clinical breast cancer samples |
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| GSE9309_top8000 - GSE9309 - SiGN-BN NNSR | Recovery of biological information under heterogeneous experimental conditions using subgroup standardization. |
