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Connection

Walter M. Stadler to Gene Expression Profiling

This is a "connection" page, showing publications Walter M. Stadler has written about Gene Expression Profiling.
Connection Strength

0.384
  1. Advantages of genomic complexity: bioinformatics opportunities in microRNA cancer signatures. J Am Med Inform Assoc. 2012 Mar-Apr; 19(2):156-60.
    View in: PubMed
    Score: 0.068
  2. Protein-network modeling of prostate cancer gene signatures reveals essential pathways in disease recurrence. J Am Med Inform Assoc. 2011 Jul-Aug; 18(4):392-402.
    View in: PubMed
    Score: 0.066
  3. Identification of deregulated oncogenic pathways in renal cell carcinoma: an integrated oncogenomic approach based on gene expression profiling. Oncogene. 2007 Feb 26; 26(9):1346-50.
    View in: PubMed
    Score: 0.049
  4. Gene expression profiling in kidney cancer: combining differential expression and chromosomal and pathway analyses. Clin Genitourin Cancer. 2006 Dec; 5(3):227-31.
    View in: PubMed
    Score: 0.048
  5. Transcriptional profiles in peripheral blood mononuclear cells prognostic of clinical outcomes in patients with advanced renal cell carcinoma. Clin Cancer Res. 2005 Feb 01; 11(3):1181-9.
    View in: PubMed
    Score: 0.042
  6. Gene expression profiling of renal medullary carcinoma: potential clinical relevance. Cancer. 2004 Mar 01; 100(5):976-85.
    View in: PubMed
    Score: 0.040
  7. Clinical activity and molecular correlates of response to atezolizumab alone or in combination with bevacizumab versus sunitinib in renal cell carcinoma. Nat Med. 2018 06; 24(6):749-757.
    View in: PubMed
    Score: 0.027
  8. Molecular Drivers of the Non-T-cell-Inflamed Tumor Microenvironment in Urothelial Bladder Cancer. Cancer Immunol Res. 2016 07; 4(7):563-8.
    View in: PubMed
    Score: 0.023
  9. A molecular classification of papillary renal cell carcinoma. Cancer Res. 2005 Jul 01; 65(13):5628-37.
    View in: PubMed
    Score: 0.011
  10. Disease-associated expression profiles in peripheral blood mononuclear cells from patients with advanced renal cell carcinoma. Cancer Res. 2003 Sep 15; 63(18):6069-75.
    View in: PubMed
    Score: 0.010
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.