 Connection
Debashis Ghosh to Bayes Theorem
This is a "connection" page, showing publications Debashis Ghosh has written about Bayes Theorem.
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Connection Strength |
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0.453 |
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Ghosh D, Chinnaiyan AM. Empirical Bayes identification [correction of identication] of tumor progression genes from microarray data. Biom J. 2007 Feb; 49(1):68-77.
Score: 0.228
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Chen W, Ghosh D, Raghunathan TE, Sargent DJ. Bayesian variable selection with joint modeling of categorical and survival outcomes: an application to individualizing chemotherapy treatment in advanced colorectal cancer. Biometrics. 2009 Dec; 65(4):1030-40.
Score: 0.070
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Shen R, Taylor JM, Ghosh D. Reconstructing tumor-wise protein expression in tissue microarray studies using a Bayesian cell mixture model. Bioinformatics. 2008 Dec 15; 24(24):2880-6.
Score: 0.064
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Ghosh P, Chowdhury R, Maruf S, Picado A, Hossain F, Owen SI, Nath R, Baker J, Hasnain MG, Shomik MS, Ghosh D, Rashid M, Rashid MU, Sagar SK, Rahat MA, Basher A, Nath P, Edwards T, Andrews JR, Duthie MS, de Souza DK, Adams ER, Ndungu J, Cruz I, Mondal D. Gauging the skin resident Leishmania parasites through a loop mediated isothermal amplification (LAMP) assay in post-kala-azar dermal leishmaniasis. Sci Rep. 2022 10 27; 12(1):18069.
Score: 0.043
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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.
Score: 0.021
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Chen W, Ghosh D, Raghunathan TE, Sargent DJ. A false-discovery-rate-based loss framework for selection of interactions. Stat Med. 2008 May 20; 27(11):2004-21.
Score: 0.016
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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.
Score: 0.012
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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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