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Debashis Ghosh to Computer Simulation

This is a "connection" page, showing publications Debashis Ghosh has written about Computer Simulation.

 
Connection Strength
 
 
 
2.769
 
  1. Poisson LM, Sreekumar A, Chinnaiyan AM, Ghosh D. Pathway-directed weighted testing procedures for the integrative analysis of gene expression and metabolomic data. Genomics. 2012 May; 99(5):265-74.
    View in: PubMed
    Score: 0.284
  2. Jensen AM, DeWitt P, Bettcher BM, Wrobel J, Kechris K, Ghosh D. Kernel machine tests of association using extrinsic and intrinsic cluster evaluation metrics. PLoS Comput Biol. 2024 Nov; 20(11):e1012524.
    View in: PubMed
    Score: 0.170
  3. Suresh K, G?rg C, Ghosh D. Model-agnostic explanations for survival prediction models. Stat Med. 2024 May 20; 43(11):2161-2182.
    View in: PubMed
    Score: 0.163
  4. Seal S, Neelon B, Angel PM, O'Quinn EC, Hill E, Vu T, Ghosh D, Mehta AS, Wallace K, Alekseyenko AV. SpaceANOVA: Spatial Co-occurrence Analysis of Cell Types in Multiplex Imaging Data Using Point Process and Functional ANOVA. J Proteome Res. 2024 04 05; 23(4):1131-1143.
    View in: PubMed
    Score: 0.162
  5. Carpenter CM, Gillenwater L, Bowler R, Kechris K, Ghosh D. TreeKernel: interpretable kernel machine tests for interactions between -omics and clinical predictors with applications to metabolomics and COPD phenotypes. BMC Bioinformatics. 2023 Oct 25; 24(1):398.
    View in: PubMed
    Score: 0.158
  6. Seal S, Bitler BG, Ghosh D. SMASH: Scalable Method for Analyzing Spatial Heterogeneity of genes in spatial transcriptomics data. PLoS Genet. 2023 Oct; 19(10):e1010983.
    View in: PubMed
    Score: 0.158
  7. Seal S, Ghosh D. MIAMI: mutual information-based analysis of multiplex imaging data. Bioinformatics. 2022 08 02; 38(15):3818-3826.
    View in: PubMed
    Score: 0.145
  8. Jensen AM, Tregellas JR, Sutton B, Xing F, Ghosh D. Kernel machine tests of association between brain networks and phenotypes. PLoS One. 2019; 14(3):e0199340.
    View in: PubMed
    Score: 0.115
  9. Rudra P, Broadaway KA, Ware EB, Jhun MA, Bielak LF, Zhao W, Smith JA, Peyser PA, Kardia SLR, Epstein MP, Ghosh D. Testing cross-phenotype effects of rare variants in longitudinal studies of complex traits. Genet Epidemiol. 2018 06; 42(4):320-332.
    View in: PubMed
    Score: 0.107
  10. Cho Y, Hu C, Ghosh D. Covariate adjustment using propensity scores for dependent censoring problems in the accelerated failure time model. Stat Med. 2018 02 10; 37(3):390-404.
    View in: PubMed
    Score: 0.104
  11. Hua WY, Ghosh D. Equivalence of kernel machine regression and kernel distance covariance for multidimensional phenotype association studies. Biometrics. 2015 Sep; 71(3):812-20.
    View in: PubMed
    Score: 0.088
  12. Cho Y, Ghosh D. Weighted estimation of the accelerated failure time model in the presence of dependent censoring. PLoS One. 2015; 10(4):e0124381.
    View in: PubMed
    Score: 0.088
  13. Zhan X, Patterson AD, Ghosh D. Kernel approaches for differential expression analysis of mass spectrometry-based metabolomics data. BMC Bioinformatics. 2015 Mar 11; 16:77.
    View in: PubMed
    Score: 0.087
  14. Ghosh D, Zhu Y, Coffman DL. Penalized regression procedures for variable selection in the potential outcomes framework. Stat Med. 2015 May 10; 34(10):1645-58.
    View in: PubMed
    Score: 0.086
  15. Ghosh D. Genomic outlier detection in high-throughput data analysis. Methods Mol Biol. 2013; 972:141-53.
    View in: PubMed
    Score: 0.075
  16. Poisson LM, Taylor JM, Ghosh D. Integrative set enrichment testing for multiple omics platforms. BMC Bioinformatics. 2011 Nov 25; 12:459.
    View in: PubMed
    Score: 0.069
  17. Ghosh D, Taylor JM, Sargent DJ. Meta-analysis for surrogacy: accelerated failure time models and semicompeting risks modeling. Biometrics. 2012 Mar; 68(1):226-32.
    View in: PubMed
    Score: 0.067
  18. Ghosh D. Discrete nonparametric algorithms for outlier detection with genomic data. J Biopharm Stat. 2010 Mar; 20(2):193-208.
    View in: PubMed
    Score: 0.061
  19. Ghosh D. Semiparametric analysis of recurrent events: artificial censoring, truncation, pairwise estimation and inference. Lifetime Data Anal. 2010 Oct; 16(4):509-24.
    View in: PubMed
    Score: 0.061
  20. Ghosh D. On assessing surrogacy in a single trial setting using a semicompeting risks paradigm. Biometrics. 2009 Jun; 65(2):521-9.
    View in: PubMed
    Score: 0.058
  21. Yuan Z, Ghosh D. Combining multiple biomarker models in logistic regression. Biometrics. 2008 Jun; 64(2):431-9.
    View in: PubMed
    Score: 0.053
  22. 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.
    View in: PubMed
    Score: 0.052
  23. Ghosh D. Semiparametric inference for surrogate endpoints with bivariate censored data. Biometrics. 2008 Mar; 64(1):149-56.
    View in: PubMed
    Score: 0.051
  24. Ghosh D. Proportional hazards regression for cancer studies. Biometrics. 2008 Mar; 64(1):141-8.
    View in: PubMed
    Score: 0.051
  25. Ghosh D. Semi-parametric inferences for association with semi-competing risks data. Stat Med. 2006 Jun 30; 25(12):2059-70.
    View in: PubMed
    Score: 0.048
  26. Ghosh D, Lin DY. Semiparametric analysis of recurrent events data in the presence of dependent censoring. Biometrics. 2003 Dec; 59(4):877-85.
    View in: PubMed
    Score: 0.040
  27. Solis-Lemus CR, Fischer ST, Todor A, Liu C, Leslie EJ, Cutler DJ, Ghosh D, Epstein MP. Leveraging Family History in Case-Control Analyses of Rare Variation. Genetics. 2020 02; 214(2):295-303.
    View in: PubMed
    Score: 0.030
  28. Holleman AM, Broadaway KA, Duncan R, Todor A, Almli LM, Bradley B, Ressler KJ, Ghosh D, Mulle JG, Epstein MP. Powerful and Efficient Strategies for Genetic Association Testing of Symptom and Questionnaire Data in Psychiatric Genetic Studies. Sci Rep. 2019 05 17; 9(1):7523.
    View in: PubMed
    Score: 0.029
  29. Ge T, Nichols TE, Ghosh D, Mormino EC, Smoller JW, Sabuncu MR. A kernel machine method for detecting effects of interaction between multidimensional variable sets: an imaging genetics application. Neuroimage. 2015 Apr 01; 109:505-514.
    View in: PubMed
    Score: 0.022
  30. Chen W, Ghosh D, Raghunathan TE, Norkin M, Sargent DJ, Bepler G. On Bayesian methods of exploring qualitative interactions for targeted treatment. Stat Med. 2012 Dec 10; 31(28):3693-707.
    View in: PubMed
    Score: 0.018
  31. Kwee LC, Liu D, Lin X, Ghosh D, Epstein MP. A powerful and flexible multilocus association test for quantitative traits. Am J Hum Genet. 2008 Feb; 82(2):386-97.
    View in: PubMed
    Score: 0.013
  32. Shen R, Ghosh D, Chinnaiyan A, Meng Z. Eigengene-based linear discriminant model for tumor classification using gene expression microarray data. Bioinformatics. 2006 Nov 01; 22(21):2635-42.
    View in: PubMed
    Score: 0.012
  33. 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.
    View in: PubMed
    Score: 0.011
  34. Abecasis GR, Ghosh D, Nichols TE. Linkage disequilibrium: ancient history drives the new genetics. Hum Hered. 2005; 59(2):118-24.
    View in: PubMed
    Score: 0.011
  35. Levin AM, Ghosh D, Cho KR, Kardia SL. A model-based scan statistic for identifying extreme chromosomal regions of gene expression in human tumors. Bioinformatics. 2005 Jun 15; 21(12):2867-74.
    View in: PubMed
    Score: 0.011
  36. 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.
    View in: PubMed
    Score: 0.011
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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