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Connection

Debashis Ghosh to Breast Neoplasms

This is a "connection" page, showing publications Debashis Ghosh has written about Breast Neoplasms.

 
Connection Strength
 
 
 
0.219
 
  1. Li Y, Ghosh D. A two-step hierarchical hypothesis set testing framework, with applications to gene expression data on ordered categories. BMC Bioinformatics. 2014 Apr 14; 15:108.
    View in: PubMed
    Score: 0.052
  2. Yu J, Yu J, Cordero KE, Johnson MD, Ghosh D, Rae JM, Chinnaiyan AM, Lippman ME. A transcriptional fingerprint of estrogen in human breast cancer predicts patient survival. Neoplasia. 2008 Jan; 10(1):79-88.
    View in: PubMed
    Score: 0.034
  3. Mehra R, Varambally S, Ding L, Shen R, Sabel MS, Ghosh D, Chinnaiyan AM, Kleer CG. Identification of GATA3 as a breast cancer prognostic marker by global gene expression meta-analysis. Cancer Res. 2005 Dec 15; 65(24):11259-64.
    View in: PubMed
    Score: 0.029
  4. Witkiewicz AK, Varambally S, Shen R, Mehra R, Sabel MS, Ghosh D, Chinnaiyan AM, Rubin MA, Kleer CG. Alpha-methylacyl-CoA racemase protein expression is associated with the degree of differentiation in breast cancer using quantitative image analysis. Cancer Epidemiol Biomarkers Prev. 2005 Jun; 14(6):1418-23.
    View in: PubMed
    Score: 0.028
  5. Shen R, Ghosh D, Chinnaiyan AM. Prognostic meta-signature of breast cancer developed by two-stage mixture modeling of microarray data. BMC Genomics. 2004 Dec 14; 5(1):94.
    View in: PubMed
    Score: 0.027
  6. Kleer CG, Cao Q, Varambally S, Shen R, Ota I, Tomlins SA, Ghosh D, Sewalt RG, Otte AP, Hayes DF, Sabel MS, Livant D, Weiss SJ, Rubin MA, Chinnaiyan AM. EZH2 is a marker of aggressive breast cancer and promotes neoplastic transformation of breast epithelial cells. Proc Natl Acad Sci U S A. 2003 Sep 30; 100(20):11606-11.
    View in: PubMed
    Score: 0.025
  7. Ghosh D. Singular value decomposition regression models for classification of tumors from microarray experiments. Pac Symp Biocomput. 2002; 18-29.
    View in: PubMed
    Score: 0.022
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.

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