 Connection
Co-Authors
This is a "connection" page, showing publications co-authored by Katerina Kechris and Debashis Ghosh.
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Connection Strength |
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1.864 |
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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: 0.225
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Zhuang Y, Xing F, Ghosh D, Hobbs BD, Hersh CP, Banaei-Kashani F, Bowler RP, Kechris K. Deep learning on graphs for multi-omics classification of COPD. PLoS One. 2023; 18(4):e0284563.
Score: 0.218
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Dekermanjian JP, Shaddox E, Nandy D, Ghosh D, Kechris K. Mechanism-aware imputation: a two-step approach in handling missing values in metabolomics. BMC Bioinformatics. 2022 May 16; 23(1):179.
Score: 0.204
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Zhuang Y, Xing F, Ghosh D, Banaei-Kashani F, Bowler RP, Kechris K. An Augmented High-Dimensional Graphical Lasso Method to Incorporate Prior Biological Knowledge for Global Network Learning. Front Genet. 2021; 12:760299.
Score: 0.200
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Carpenter CM, Zhang W, Gillenwater L, Severn C, Ghosh T, Bowler R, Kechris K, Ghosh D. PaIRKAT: A pathway integrated regression-based kernel association test with applications to metabolomics and COPD phenotypes. PLoS Comput Biol. 2021 10; 17(10):e1008986.
Score: 0.196
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Dekermanjian J, Labeikovsky W, Ghosh D, Kechris K. MSCAT: A Machine Learning Assisted Catalog of Metabolomics Software Tools. Metabolites. 2021 Oct 02; 11(10).
Score: 0.195
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Ghosh T, Philtron D, Zhang W, Kechris K, Ghosh D. Reproducibility of mass spectrometry based metabolomics data. BMC Bioinformatics. 2021 Sep 07; 22(1):423.
Score: 0.195
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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: 0.173
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Reinhold D, Pielke-Lombardo H, Jacobson S, Ghosh D, Kechris K. Pre-analytic Considerations for Mass Spectrometry-Based Untargeted Metabolomics Data. Methods Mol Biol. 2019; 1978:323-340.
Score: 0.162
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Vestal BE, Ghosh D, Est?par RSJ, Kechris K, Fingerlin T, Carlson NE. Quantifying the spatial clustering characteristics of radiographic emphysema explains variability in pulmonary function. Sci Rep. 2023 08 24; 13(1):13862.
Score: 0.056
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Vestal BE, Carlson NE, Est?par RSJ, Fingerlin T, Ghosh D, Kechris K, Lynch D. Using a spatial point process framework to characterize lung computed tomography scans. Spat Stat. 2019 Mar; 29:243-267.
Score: 0.040
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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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