 Connection
Debashis Ghosh to Sensitivity and Specificity
This is a "connection" page, showing publications Debashis Ghosh has written about Sensitivity and Specificity.
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0.481 |
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Hossain F, Ghosh P, Chowdhury FR, Basher A, Ahsan HMN, Khan AH, Shumu SJ, Jahan T, Roy CK, Arefin AKMN, Khanam F, Rahat MA, Chowdhury R, Uddin MR, Shomik MS, Maruf S, Rashid MU, Sagar SK, Mithila NT, Chowdhury MAA, Kamal M, Sharfaraz A, Ghosh D, Chowdhury A, Chowdhury AH, Hossain Z, Arefeen F, Islam MS, Rahman SMM, Al-Amin TM, Rashid A, Shukla KK, Roy S, Rana MS, Hossain MS, Siegel M, Wahed AAE, Mondal D. Evaluating a rapid molecular assay in a mobile laboratory for improved diagnosis of dengue in Bangladesh. Int J Infect Dis. 2025 Jan; 150:107299.
Score: 0.160
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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.
Score: 0.083
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Ghosh D. On assessing surrogacy in a single trial setting using a semicompeting risks paradigm. Biometrics. 2009 Jun; 65(2):521-9.
Score: 0.055
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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: 0.050
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Ghosh D. Mixture models for assessing differential expression in complex tissues using microarray data. Bioinformatics. 2004 Jul 22; 20(11):1663-9.
Score: 0.038
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Hossain F, Picado A, Owen SI, Ghosh P, Chowdhury R, Maruf S, Khan MAA, Rashid MU, Nath R, Baker J, Ghosh D, Adams ER, Duthie MS, Hossain MS, Basher A, Nath P, Aktar F, Cruz I, Mondal D. Evaluation of Loopamp? Leishmania Detection Kit and Leishmania Antigen ELISA for Post-Elimination Detection and Management of Visceral Leishmaniasis in Bangladesh. Front Cell Infect Microbiol. 2021; 11:670759.
Score: 0.031
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Patwa TH, Li C, Poisson LM, Kim HY, Pal M, Ghosh D, Simeone DM, Lubman DM. The identification of phosphoglycerate kinase-1 and histone H4 autoantibodies in pancreatic cancer patient serum using a natural protein microarray. Electrophoresis. 2009 Jun; 30(12):2215-26.
Score: 0.014
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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.
Score: 0.011
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Wang X, Yu J, Sreekumar A, Varambally S, Shen R, Giacherio D, Mehra R, Montie JE, Pienta KJ, Sanda MG, Kantoff PW, Rubin MA, Wei JT, Ghosh D, Chinnaiyan AM. Autoantibody signatures in prostate cancer. N Engl J Med. 2005 Sep 22; 353(12):1224-35.
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: 0.010
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Sreekumar A, Laxman B, Rhodes DR, Bhagavathula S, Harwood J, Giacherio D, Ghosh D, Sanda MG, Rubin MA, Chinnaiyan AM. Humoral immune response to alpha-methylacyl-CoA racemase and prostate cancer. J Natl Cancer Inst. 2004 Jun 02; 96(11):834-43.
Score: 0.010
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Rubin MA, Zhou M, Dhanasekaran SM, Varambally S, Barrette TR, Sanda MG, Pienta KJ, Ghosh D, Chinnaiyan AM. alpha-Methylacyl coenzyme A racemase as a tissue biomarker for prostate cancer. JAMA. 2002 Apr 03; 287(13):1662-70.
Score: 0.008
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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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