 Connection
Laura Saba to Software
This is a "connection" page, showing publications Laura Saba has written about Software.
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Connection Strength |
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0.667 |
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Saba L, Hoffman P, Tabakoff B. Using Baseline Transcriptional Connectomes in Rat to Identify Genetic Pathways Associated with Predisposition to Complex Traits. Methods Mol Biol. 2017; 1488:299-317.
Score: 0.424
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Tabakoff B, Smith H, Vanderlinden LA, Hoffman PL, Saba LM. Networking in Biology: The Hybrid Rat Diversity Panel. Methods Mol Biol. 2019; 2018:213-231.
Score: 0.122
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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: 0.032
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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: 0.030
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Shimoyama M, Smith JR, Bryda E, Kuramoto T, Saba L, Dwinell M. Rat Genome and Model Resources. ILAR J. 2017 07 01; 58(1):42-58.
Score: 0.027
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Bennett B, Saba LM, Hornbaker CK, Kechris KJ, Hoffman P, Tabakoff B. Genetical genomic analysis of complex phenotypes using the PhenoGen website. Behav Genet. 2011 Jul; 41(4):625-8.
Score: 0.017
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Buller MK, Kane IL, Martin RC, Giese AJ, Cutter GR, Saba LM, Buller DB. Randomized trial evaluating computer-based sun safety education for children in elementary school. J Cancer Educ. 2008; 23(2):74-9.
Score: 0.014
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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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