 Connection
Debashis Ghosh to Genomics
This is a "connection" page, showing publications Debashis Ghosh has written about Genomics.
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Connection Strength |
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1.529 |
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Li Y, Ghosh D. Meta-analysis based on weighted ordered P-values for genomic data with heterogeneity. BMC Bioinformatics. 2014 Jun 28; 15:226.
Score: 0.350
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Poisson LM, Taylor JM, Ghosh D. Integrative set enrichment testing for multiple omics platforms. BMC Bioinformatics. 2011 Nov 25; 12:459.
Score: 0.293
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Ghosh D. Discrete nonparametric algorithms for outlier detection with genomic data. J Biopharm Stat. 2010 Mar; 20(2):193-208.
Score: 0.259
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Ghosh D. Shrunken p-values for assessing differential expression with applications to genomic data analysis. Biometrics. 2006 Dec; 62(4):1099-106.
Score: 0.207
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Choi H, Ghosh D, Qin Z. Computationally Tractable Multivariate HMM in Genome-Wide Mapping Studies. Methods Mol Biol. 2017; 1552:135-148.
Score: 0.104
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Lee Y, Ghosh D, Hardison RC, Zhang Y. MRHMMs: multivariate regression hidden Markov models and the variantS. Bioinformatics. 2014 Jun 15; 30(12):1755-6.
Score: 0.085
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Ghosh D. Genomic outlier detection in high-throughput data analysis. Methods Mol Biol. 2013; 972:141-53.
Score: 0.079
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Choi H, Nesvizhskii AI, Ghosh D, Qin ZS. Hierarchical hidden Markov model with application to joint analysis of ChIP-chip and ChIP-seq data. Bioinformatics. 2009 Jul 15; 25(14):1715-21.
Score: 0.061
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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: 0.055
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Choi H, Fermin D, Nesvizhskii AI, Ghosh D, Qin ZS. Sparsely correlated hidden Markov models with application to genome-wide location studies. Bioinformatics. 2013 Mar 01; 29(5):533-41.
Score: 0.020
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Brinkmeier ML, Davis SW, Carninci P, MacDonald JW, Kawai J, Ghosh D, Hayashizaki Y, Lyons RH, Camper SA. Discovery of transcriptional regulators and signaling pathways in the developing pituitary gland by bioinformatic and genomic approaches. Genomics. 2009 May; 93(5):449-60.
Score: 0.015
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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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