 Connection
Laura Saba to Gene Expression Profiling
This is a "connection" page, showing publications Laura Saba has written about Gene Expression Profiling.
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Connection Strength |
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1.144 |
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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: 0.361
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Lusk R, Stene E, Banaei-Kashani F, Tabakoff B, Kechris K, Saba LM. Aptardi predicts polyadenylation sites in sample-specific transcriptomes using high-throughput RNA sequencing and DNA sequence. Nat Commun. 2021 03 12; 12(1):1652.
Score: 0.121
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O'Leary H, Vanderlinden L, Southard L, Castano A, Saba LM, Benke TA. Transcriptome analysis of rat dorsal hippocampal CA1 after an early life seizure induced by kainic acid. Epilepsy Res. 2020 03; 161:106283.
Score: 0.112
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Assiri MA, Ali HR, Marentette JO, Yun Y, Liu J, Hirschey MD, Saba LM, Harris PS, Fritz KS. Investigating RNA expression profiles altered by nicotinamide mononucleotide therapy in a chronic model of alcoholic liver disease. Hum Genomics. 2019 12 10; 13(1):65.
Score: 0.111
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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: 0.102
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Johnson M, Alsaleh N, Mendoza RP, Persaud I, Bauer AK, Saba L, Brown JM. Genomic and transcriptomic comparison of allergen and silver nanoparticle-induced mast cell degranulation reveals novel non-immunoglobulin E mediated mechanisms. PLoS One. 2018; 13(3):e0193499.
Score: 0.098
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Hoffman PL, Bennett B, Saba LM, Bhave SV, Carosone-Link PJ, Hornbaker CK, Kechris KJ, Williams RW, Tabakoff B. Using the Phenogen website for 'in silico' analysis of morphine-induced analgesia: identifying candidate genes. Addict Biol. 2011 Jul; 16(3):393-404.
Score: 0.059
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Bhave SV, Hoffman PL, Lassen N, Vasiliou V, Saba L, Deitrich RA, Tabakoff B. Gene array profiles of alcohol and aldehyde metabolizing enzymes in brains of C57BL/6 and DBA/2 mice. Alcohol Clin Exp Res. 2006 Oct; 30(10):1659-69.
Score: 0.044
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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: 0.027
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Bennett B, Larson C, Richmond PA, Odell AT, Saba LM, Tabakoff B, Dowell R, Radcliffe RA. Quantitative trait locus mapping of acute functional tolerance in the LXS recombinant inbred strains. Alcohol Clin Exp Res. 2015 Apr; 39(4):611-20.
Score: 0.020
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Hoffman PL, Saba LM, Flink S, Grahame NJ, Kechris K, Tabakoff B. Genetics of gene expression characterizes response to selective breeding for alcohol preference. Genes Brain Behav. 2014 Nov; 13(8):743-57.
Score: 0.019
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Vanderlinden LA, Saba LM, Kechris K, Miles MF, Hoffman PL, Tabakoff B. Whole brain and brain regional coexpression network interactions associated with predisposition to alcohol consumption. PLoS One. 2013; 8(7):e68878.
Score: 0.018
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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: 0.015
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Tabakoff B, Saba L, Printz M, Flodman P, Hodgkinson C, Goldman D, Koob G, Richardson HN, Kechris K, Bell RL, H?bner N, Heinig M, Pravenec M, Mangion J, Legault L, Dongier M, Conigrave KM, Whitfield JB, Saunders J, Grant B, Hoffman PL. Genetical genomic determinants of alcohol consumption in rats and humans. BMC Biol. 2009 Oct 27; 7:70.
Score: 0.014
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Tabakoff B, Saba L, Kechris K, Hu W, Bhave SV, Finn DA, Grahame NJ, Hoffman PL. The genomic determinants of alcohol preference in mice. Mamm Genome. 2008 May; 19(5):352-65.
Score: 0.012
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Bhave SV, Hornbaker C, Phang TL, Saba L, Lapadat R, Kechris K, Gaydos J, McGoldrick D, Dolbey A, Leach S, Soriano B, Ellington A, Ellington E, Jones K, Mangion J, Belknap JK, Williams RW, Hunter LE, Hoffman PL, Tabakoff B. The PhenoGen informatics website: tools for analyses of complex traits. BMC Genet. 2007 Aug 30; 8:59.
Score: 0.012
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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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