 Connection
Debashis Ghosh to Metabolomics
This is a "connection" page, showing publications Debashis Ghosh has written about Metabolomics.
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Connection Strength |
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2.616 |
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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: 0.590
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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: 0.585
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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: 0.373
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Poisson LM, Sreekumar A, Chinnaiyan AM, Ghosh D. Pathway-directed weighted testing procedures for the integrative analysis of gene expression and metabolomic data. Genomics. 2012 May; 99(5):265-74.
Score: 0.304
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Poisson LM, Taylor JM, Ghosh D. Integrative set enrichment testing for multiple omics platforms. BMC Bioinformatics. 2011 Nov 25; 12:459.
Score: 0.297
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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: 0.153
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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: 0.130
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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: 0.121
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Sreekumar A, Poisson LM, Rajendiran TM, Khan AP, Cao Q, Yu J, Laxman B, Mehra R, Lonigro RJ, Li Y, Nyati MK, Ahsan A, Kalyana-Sundaram S, Han B, Cao X, Byun J, Omenn GS, Ghosh D, Pennathur S, Alexander DC, Berger A, Shuster JR, Wei JT, Varambally S, Beecher C, Chinnaiyan AM. Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression. Nature. 2009 Feb 12; 457(7231):910-4.
Score: 0.061
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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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