 Connection
Fenghuang Zhan to Cluster Analysis
This is a "connection" page, showing publications Fenghuang Zhan has written about Cluster Analysis.
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Connection Strength |
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0.217 |
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Zhan F, Barlogie B, Arzoumanian V, Huang Y, Williams DR, Hollmig K, Pineda-Roman M, Tricot G, van Rhee F, Zangari M, Dhodapkar M, Shaughnessy JD. Gene-expression signature of benign monoclonal gammopathy evident in multiple myeloma is linked to good prognosis. Blood. 2007 Feb 15; 109(4):1692-700.
Score: 0.067
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Zhan F, Huang Y, Colla S, Stewart JP, Hanamura I, Gupta S, Epstein J, Yaccoby S, Sawyer J, Burington B, Anaissie E, Hollmig K, Pineda-Roman M, Tricot G, van Rhee F, Walker R, Zangari M, Crowley J, Barlogie B, Shaughnessy JD. The molecular classification of multiple myeloma. Blood. 2006 Sep 15; 108(6):2020-8.
Score: 0.066
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Zhan F, Tian E, Bumm K, Smith R, Barlogie B, Shaughnessy J. Gene expression profiling of human plasma cell differentiation and classification of multiple myeloma based on similarities to distinct stages of late-stage B-cell development. Blood. 2003 Feb 01; 101(3):1128-40.
Score: 0.051
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Anguiano A, Tuchman SA, Acharya C, Salter K, Gasparetto C, Zhan F, Dhodapkar M, Nevins J, Barlogie B, Shaughnessy JD, Potti A. Gene expression profiles of tumor biology provide a novel approach to prognosis and may guide the selection of therapeutic targets in multiple myeloma. J Clin Oncol. 2009 Sep 01; 27(25):4197-203.
Score: 0.020
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Zent CS, Zhan F, Schichman SA, Bumm KH, Lin P, Chen JB, Shaughnessy JD. The distinct gene expression profiles of chronic lymphocytic leukemia and multiple myeloma suggest different anti-apoptotic mechanisms but predict only some differences in phenotype. Leuk Res. 2003 Sep; 27(9):765-74.
Score: 0.014
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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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