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Connection

Audrey Hendricks to Computer Simulation

This is a "connection" page, showing publications Audrey Hendricks has written about Computer Simulation.

 
Connection Strength
 
 
 
1.005
 
  1. Hendricks AE, Dupuis J, Gupta M, Logue MW, Lunetta KL. A comparison of gene region simulation methods. PLoS One. 2012; 7(7):e40925.
    View in: PubMed
    Score: 0.288
  2. Stoneman HR, Price AM, Trout NS, Lamont R, Tifour S, Pozdeyev N, Crooks K, Lin M, Rafaels N, Gignoux CR, Marker KM, Hendricks AE. Characterizing substructure via mixture modeling in large-scale genetic summary statistics. Am J Hum Genet. 2025 Feb 06; 112(2):235-253.
    View in: PubMed
    Score: 0.171
  3. Murphy JI, Weaver NE, Hendricks AE. Accessible analysis of longitudinal data with linear mixed effects models. Dis Model Mech. 2022 05 01; 15(5).
    View in: PubMed
    Score: 0.142
  4. Null M, Dupuis J, Sheinidashtegol P, Layer RM, Gignoux CR, Hendricks AE. RAREsim: A simulation method for very rare genetic variants. Am J Hum Genet. 2022 04 07; 109(4):680-691.
    View in: PubMed
    Score: 0.140
  5. Arriaga-MacKenzie IS, Matesi G, Chen S, Ronco A, Marker KM, Hall JR, Scherenberg R, Khajeh-Sharafabadi M, Wu Y, Gignoux CR, Null M, Hendricks AE. Summix: A method for detecting and adjusting for population structure in genetic summary data. Am J Hum Genet. 2021 07 01; 108(7):1270-1282.
    View in: PubMed
    Score: 0.134
  6. Hendricks AE, Billups SC, Pike HNC, Farooqi IS, Zeggini E, Santorico SA, Barroso I, Dupuis J. ProxECAT: Proxy External Controls Association Test. A new case-control gene region association test using allele frequencies from public controls. PLoS Genet. 2018 10; 14(10):e1007591.
    View in: PubMed
    Score: 0.111
  7. Zhang X, Johnson AD, Hendricks AE, Hwang SJ, Tanriverdi K, Ganesh SK, Smith NL, Peyser PA, Freedman JE, O'Donnell CJ. Genetic associations with expression for genes implicated in GWAS studies for atherosclerotic cardiovascular disease and blood phenotypes. Hum Mol Genet. 2014 Feb 01; 23(3):782-95.
    View in: PubMed
    Score: 0.020
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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