 Connection
Katerina Kechris to ROC Curve
This is a "connection" page, showing publications Katerina Kechris has written about ROC Curve.
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Connection Strength |
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0.538 |
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Ghosh T, Zhang W, Ghosh D, Kechris K. Predictive Modeling for Metabolomics Data. Methods Mol Biol. 2020; 2104:313-336.
Score: 0.148
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Zhuang YH, Wade K, Saba LM, Kechris K. Development of a tissue augmented Bayesian model for expression quantitative trait loci analysis. Math Biosci Eng. 2019 09 26; 17(1):122-143.
Score: 0.146
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Siska C, Kechris K. Differential correlation for sequencing data. BMC Res Notes. 2017 Jan 19; 10(1):54.
Score: 0.121
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Dvorkin D, Biehs B, Kechris K. A graphical model method for integrating multiple sources of genome-scale data. Stat Appl Genet Mol Biol. 2013 Aug; 12(4):469-87.
Score: 0.095
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Walter ND, Miller MA, Vasquez J, Weiner M, Chapman A, Engle M, Higgins M, Quinones AM, Rosselli V, Canono E, Yoon C, Cattamanchi A, Davis JL, Phang T, Stearman RS, Datta G, Garcia BJ, Daley CL, Strong M, Kechris K, Fingerlin TE, Reves R, Geraci MW. Blood Transcriptional Biomarkers for Active Tuberculosis among Patients in the United States: a Case-Control Study with Systematic Cross-Classifier Evaluation. J Clin Microbiol. 2016 Feb; 54(2):274-82.
Score: 0.028
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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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