Connection
Debashis Ghosh to Software
This is a "connection" page, showing publications Debashis Ghosh has written about Software.
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Connection Strength |
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1.200 |
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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.
Score: 0.375
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MacDonald JW, Ghosh D. COPA--cancer outlier profile analysis. Bioinformatics. 2006 Dec 01; 22(23):2950-1.
Score: 0.207
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Suresh K, Severn C, Ghosh D. Survival prediction models: an introduction to discrete-time modeling. BMC Med Res Methodol. 2022 07 26; 22(1):207.
Score: 0.156
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Russell P, Fountain K, Wolverton D, Ghosh D. TCIApathfinder: An R Client for the Cancer Imaging Archive REST API. Cancer Res. 2018 08 01; 78(15):4424-4426.
Score: 0.117
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Lutz SM, Thwing A, Schmiege S, Kroehl M, Baker CD, Starling AP, Hokanson JE, Ghosh D. Examining the role of unmeasured confounding in mediation analysis with genetic and genomic applications. BMC Bioinformatics. 2017 Jul 19; 18(1):344.
Score: 0.110
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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: 0.087
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Liu D, Ghosh D, Lin X. Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via logistic mixed models. BMC Bioinformatics. 2008 Jun 24; 9:292.
Score: 0.059
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Tseng GC, Ghosh D, Feingold E. Comprehensive literature review and statistical considerations for microarray meta-analysis. Nucleic Acids Res. 2012 May; 40(9):3785-99.
Score: 0.019
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Begum F, Ghosh D, Tseng GC, Feingold E. Comprehensive literature review and statistical considerations for GWAS meta-analysis. Nucleic Acids Res. 2012 May; 40(9):3777-84.
Score: 0.019
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Choi H, Ghosh D, Nesvizhskii AI. Statistical validation of peptide identifications in large-scale proteomics using the target-decoy database search strategy and flexible mixture modeling. J Proteome Res. 2008 Jan; 7(1):286-92.
Score: 0.014
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Chang ST, Ghosh D, Kirschner DE, Linderman JJ. Peptide length-based prediction of peptide-MHC class II binding. Bioinformatics. 2006 Nov 15; 22(22):2761-7.
Score: 0.013
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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: 0.012
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Rhodes DR, Yu J, Shanker K, Deshpande N, Varambally R, Ghosh D, Barrette T, Pandey A, Chinnaiyan AM. ONCOMINE: a cancer microarray database and integrated data-mining platform. Neoplasia. 2004 Jan-Feb; 6(1):1-6.
Score: 0.011
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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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