Connection
Brooke Fridley to Models, Genetic
This is a "connection" page, showing publications Brooke Fridley has written about Models, Genetic.
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Connection Strength |
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3.396 |
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Noel-MacDonnell JR, Usset J, Goode EL, Fridley BL. Assessment of data transformations for model-based clustering of RNA-Seq data. PLoS One. 2018; 13(2):e0191758.
Score: 0.607
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Brisbin A, Fridley BL. Bayseian genomic models for the incorporation of pathway topology knowledge into association studies. Stat Appl Genet Mol Biol. 2013 Aug; 12(4):505-16.
Score: 0.442
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Fridley BL, Iversen E, Tsai YY, Jenkins GD, Goode EL, Sellers TA. A latent model for prioritization of SNPs for functional studies. PLoS One. 2011; 6(6):e20764.
Score: 0.381
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Fridley BL, Serie D, Jenkins G, White K, Bamlet W, Potter JD, Goode EL. Bayesian mixture models for the incorporation of prior knowledge to inform genetic association studies. Genet Epidemiol. 2010 Jul; 34(5):418-26.
Score: 0.357
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Fridley BL, Jenkins GD. Localizing putative markers in genetic association studies by incorporating linkage disequilibrium into bayesian hierarchical models. Hum Hered. 2010; 70(1):63-73.
Score: 0.356
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Fridley BL. Bayesian variable and model selection methods for genetic association studies. Genet Epidemiol. 2009 Jan; 33(1):27-37.
Score: 0.322
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Fridley BL, de Andrade M. Missing phenotype data imputation in pedigree data analysis. Genet Epidemiol. 2008 Jan; 32(1):52-60.
Score: 0.300
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Fridley B, Rabe K, de Andrade M. Imputation methods for missing data for polygenic models. BMC Genet. 2003 Dec 31; 4 Suppl 1:S42.
Score: 0.228
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Carvajal-Carmona LG, O'Mara TA, Painter JN, Lose FA, Dennis J, Michailidou K, Tyrer JP, Ahmed S, Ferguson K, Healey CS, Pooley K, Beesley J, Cheng T, Jones A, Howarth K, Martin L, Gorman M, Hodgson S, Wentzensen N, Fasching PA, Hein A, Beckmann MW, Renner SP, D?rk T, Hillemanns P, D?rst M, Runnebaum I, Lambrechts D, Coenegrachts L, Schrauwen S, Amant F, Winterhoff B, Dowdy SC, Goode EL, Teoman A, Salvesen HB, Trovik J, Njolstad TS, Werner HM, Scott RJ, Ashton K, Proietto T, Otton G, Wers?ll O, Mints M, Tham E, Hall P, Czene K, Liu J, Li J, Hopper JL, Southey MC, Ekici AB, Ruebner M, Johnson N, Peto J, Burwinkel B, Marme F, Brenner H, Dieffenbach AK, Meindl A, Brauch H, Lindblom A, Depreeuw J, Moisse M, Chang-Claude J, Rudolph A, Couch FJ, Olson JE, Giles GG, Bruinsma F, Cunningham JM, Fridley BL, B?rresen-Dale AL, Kristensen VN, Cox A, Swerdlow AJ, Orr N, Bolla MK, Wang Q, Weber RP, Chen Z, Shah M, Pharoah PD, Dunning AM, Tomlinson I, Easton DF, Spurdle AB, Thompson DJ. Candidate locus analysis of the TERT-CLPTM1L cancer risk region on chromosome 5p15 identifies multiple independent variants associated with endometrial cancer risk. Hum Genet. 2015 Feb; 134(2):231-45.
Score: 0.121
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Chalise P, Batzler A, Abo R, Wang L, Fridley BL. Simultaneous analysis of multiple data types in pharmacogenomic studies using weighted sparse canonical correlation analysis. OMICS. 2012 Jul-Aug; 16(7-8):363-73.
Score: 0.102
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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: 0.070
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Larson NB, Fogarty ZC, Larson MC, Kalli KR, Lawrenson K, Gayther S, Fridley BL, Goode EL, Winham SJ. An integrative approach to assess X-chromosome inactivation using allele-specific expression with applications to epithelial ovarian cancer. Genet Epidemiol. 2017 12; 41(8):898-914.
Score: 0.037
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Srinivasan BS, Chen J, Cheng C, Conti D, Duan S, Fridley BL, Gu X, Haines JL, Jorgenson E, Kraja A, Lasky-Su J, Li L, Rodin A, Wang D, Province M, Ritchie MD. Methods for analysis in pharmacogenomics: lessons from the Pharmacogenetics Research Network Analysis Group. Pharmacogenomics. 2009 Feb; 10(2):243-51.
Score: 0.020
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Edwards AO, Lee SJ, Fridley BL, Tosakulwong N. Density of common complex ocular traits in the aging eye: analysis of secondary traits in genome-wide association studies. PLoS One. 2008 Jun 25; 3(6):e2510.
Score: 0.019
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Edwards AO, Chen D, Fridley BL, James KM, Wu Y, Abecasis G, Swaroop A, Othman M, Branham K, Iyengar SK, Sivakumaran TA, Klein R, Klein BE, Tosakulwong N. Toll-like receptor polymorphisms and age-related macular degeneration. Invest Ophthalmol Vis Sci. 2008 Apr; 49(4):1652-9.
Score: 0.019
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de Andrade M, Fridley B, Boerwinkle E, Turner S. Diagnostic tools in linkage analysis for quantitative traits. Genet Epidemiol. 2003 May; 24(4):302-8.
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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