 Connection
Katerina Kechris to Computer Simulation
This is a "connection" page, showing publications Katerina Kechris has written about Computer Simulation.
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Connection Strength |
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0.794 |
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Liu W, Pratte KA, Castaldi PJ, Hersh C, Bowler RP, Banaei-Kashani F, Kechris KJ. A generalized higher-order correlation analysis framework for multi-omics network inference. PLoS Comput Biol. 2025 Apr; 21(4):e1011842.
Score: 0.176
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Seal S, Li Q, Basner EB, Saba LM, Kechris K. RCFGL: Rapid Condition adaptive Fused Graphical Lasso and application to modeling brain region co-expression networks. PLoS Comput Biol. 2023 01; 19(1):e1010758.
Score: 0.150
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Vu T, Litkowski EM, Liu W, Pratte KA, Lange L, Bowler RP, Banaei-Kashani F, Kechris KJ. NetSHy: network summarization via a hybrid approach leveraging topological properties. Bioinformatics. 2023 01 01; 39(1).
Score: 0.150
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Siska C, Kechris K. Differential correlation for sequencing data. BMC Res Notes. 2017 Jan 19; 10(1):54.
Score: 0.099
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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: 0.078
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Jensen AM, DeWitt P, Bettcher BM, Wrobel J, Kechris K, Ghosh D. Kernel machine tests of association using extrinsic and intrinsic cluster evaluation metrics. PLoS Comput Biol. 2024 Nov; 20(11):e1012524.
Score: 0.043
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Carpenter CM, Gillenwater L, Bowler R, Kechris K, Ghosh D. TreeKernel: interpretable kernel machine tests for interactions between -omics and clinical predictors with applications to metabolomics and COPD phenotypes. BMC Bioinformatics. 2023 Oct 25; 24(1):398.
Score: 0.040
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Shaddox E, Peterson CB, Stingo FC, Hanania NA, Cruickshank-Quinn C, Kechris K, Bowler R, Vannucci M. Bayesian inference of networks across multiple sample groups and data types. Biostatistics. 2020 07 01; 21(3):561-576.
Score: 0.032
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Lyu Y, Xue L, Zhang F, Koch H, Saba L, Kechris K, Li Q. Condition-adaptive fused graphical lasso (CFGL): An adaptive procedure for inferring condition-specific gene co-expression network. PLoS Comput Biol. 2018 09; 14(9):e1006436.
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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