 Connection
Debashis Ghosh to Models, Biological
This is a "connection" page, showing publications Debashis Ghosh has written about Models, Biological.
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Connection Strength |
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1.403 |
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Simon OB, Buard I, Rojas DC, Holden SK, Kluger BM, Ghosh D. A novel approach to understanding Parkinsonian cognitive decline using minimum spanning trees, edge cutting, and magnetoencephalography. Sci Rep. 2021 10 05; 11(1):19704.
Score: 0.466
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Choi H, Qin ZS, Ghosh D. A double-layered mixture model for the joint analysis of DNA copy number and gene expression data. J Comput Biol. 2010 Feb; 17(2):121-37.
Score: 0.207
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Liu D, Lin X, Ghosh D. Semiparametric regression of multidimensional genetic pathway data: least-squares kernel machines and linear mixed models. Biometrics. 2007 Dec; 63(4):1079-88.
Score: 0.178
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Ghosh D. Modelling tumour biology-progression relationships in screening trials. Stat Med. 2006 Jun 15; 25(11):1872-84.
Score: 0.161
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Ghosh D. Goodness-of-fit methods for additive-risk models in tumorigenicity experiments. Biometrics. 2003 Sep; 59(3):721-6.
Score: 0.133
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Ghosh D, Banerjee M, Biswas P. Inference for constrained estimation of tumor size distributions. Biometrics. 2008 Dec; 64(4):1009-17.
Score: 0.046
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Yuan Z, Ghosh D. Combining multiple biomarker models in logistic regression. Biometrics. 2008 Jun; 64(2):431-9.
Score: 0.045
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Ghosh D. Semiparametric inference for surrogate endpoints with bivariate censored data. Biometrics. 2008 Mar; 64(1):149-56.
Score: 0.044
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Ghosh D. Proportional hazards regression for cancer studies. Biometrics. 2008 Mar; 64(1):141-8.
Score: 0.043
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Rhodes DR, Tomlins SA, Varambally S, Mahavisno V, Barrette T, Kalyana-Sundaram S, Ghosh D, Pandey A, Chinnaiyan AM. Probabilistic model of the human protein-protein interaction network. Nat Biotechnol. 2005 Aug; 23(8):951-9.
Score: 0.038
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Taylor BS, Pal M, Yu J, Laxman B, Kalyana-Sundaram S, Zhao R, Menon A, Wei JT, Nesvizhskii AI, Ghosh D, Omenn GS, Lubman DM, Chinnaiyan AM, Sreekumar A. Humoral response profiling reveals pathways to prostate cancer progression. Mol Cell Proteomics. 2008 Mar; 7(3):600-11.
Score: 0.011
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Yu J, Cao Q, Mehra R, Laxman B, Yu J, Tomlins SA, Creighton CJ, Dhanasekaran SM, Shen R, Chen G, Morris DS, Marquez VE, Shah RB, Ghosh D, Varambally S, Chinnaiyan AM. Integrative genomics analysis reveals silencing of beta-adrenergic signaling by polycomb in prostate cancer. Cancer Cell. 2007 Nov; 12(5):419-31.
Score: 0.011
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Rhodes DR, Kalyana-Sundaram S, Mahavisno V, Varambally R, Yu J, Briggs BB, Barrette TR, Anstet MJ, Kincead-Beal C, Kulkarni P, Varambally S, Ghosh D, Chinnaiyan AM. Oncomine 3.0: genes, pathways, and networks in a collection of 18,000 cancer gene expression profiles. Neoplasia. 2007 Feb; 9(2):166-80.
Score: 0.011
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Shedden K, Chen W, Kuick R, Ghosh D, Macdonald J, Cho KR, Giordano TJ, Gruber SB, Fearon ER, Taylor JM, Hanash S. Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data. BMC Bioinformatics. 2005 Feb 10; 6:26.
Score: 0.009
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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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