 Connection
Laura Saba to Bayes Theorem
This is a "connection" page, showing publications Laura Saba has written about Bayes Theorem.
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Connection Strength |
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0.445 |
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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: 0.156
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Rudra P, Shi WJ, Russell P, Vestal B, Tabakoff B, Hoffman P, Kechris K, Saba L. Predictive modeling of miRNA-mediated predisposition to alcohol-related phenotypes in mouse. BMC Genomics. 2018 Aug 29; 19(1):639.
Score: 0.144
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Swartz MD, Thomas DC, Daw EW, Albers K, Charlesworth JC, Dyer TC, Fridley BL, Govil M, Kraft P, Kwon S, Logue MW, Oh C, Pique-Regi R, Saba L, Schumacher FR, Uh HW. Model selection and Bayesian methods in statistical genetics: summary of group 11 contributions to Genetic Analysis Workshop 15. Genet Epidemiol. 2007; 31 Suppl 1:S96-102.
Score: 0.064
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Vestal BE, Moore CM, Wynn E, Saba L, Fingerlin T, Kechris K. MCMSeq: Bayesian hierarchical modeling of clustered and repeated measures RNA sequencing experiments. BMC Bioinformatics. 2020 Aug 28; 21(1):375.
Score: 0.041
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Kordas G, Rudra P, Hendricks A, Saba L, Kechris K. Insight into genetic regulation of miRNA in mouse brain. BMC Genomics. 2019 Nov 13; 20(1):849.
Score: 0.039
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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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