 Connection
Brooke Fridley to Metabolomics
This is a "connection" page, showing publications Brooke Fridley has written about Metabolomics.
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Connection Strength |
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0.289 |
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Fan S, Wilson CM, Fridley BL, Li Q. Statistics and Machine Learning in Mass Spectrometry-Based Metabolomics Analysis. Methods Mol Biol. 2023; 2629:247-269.
Score: 0.219
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Li Q, Fisher K, Meng W, Fang B, Welsh E, Haura EB, Koomen JM, Eschrich SA, Fridley BL, Chen YA. GMSimpute: a generalized two-step Lasso approach to impute missing values in label-free mass spectrum analysis. Bioinformatics. 2020 01 01; 36(1):257-263.
Score: 0.044
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Abo R, Hebbring S, Ji Y, Zhu H, Zeng ZB, Batzler A, Jenkins GD, Biernacka J, Snyder K, Drews M, Fiehn O, Fridley B, Schaid D, Kamatani N, Nakamura Y, Kubo M, Mushiroda T, Kaddurah-Daouk R, Mrazek DA, Weinshilboum RM. Merging pharmacometabolomics with pharmacogenomics using '1000 Genomes' single-nucleotide polymorphism imputation: selective serotonin reuptake inhibitor response pharmacogenomics. Pharmacogenet Genomics. 2012 Apr; 22(4):247-53.
Score: 0.026
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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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