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Connection

Christopher Gignoux to Computer Simulation

This is a "connection" page, showing publications Christopher Gignoux has written about Computer Simulation.

 
Connection Strength
 
 
 
0.210
 
  1. Shemirani R, Belbin GM, Cullina S, Caggiano C, Gignoux CR, Zaitlen N, Kenny EE. A spectral component approach leveraging identity-by-descent graphs to address recent population structure in genomic analysis. Genome Res. 2026 03 02; 36(3):534-546.
    View in: PubMed
    Score: 0.043
  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 02 06; 112(2):235-253.
    View in: PubMed
    Score: 0.039
  3. 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: 0.032
  4. 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: 0.031
  5. Shemirani R, Belbin GM, Avery CL, Kenny EE, Gignoux CR, Ambite JL. Rapid detection of identity-by-descent tracts for mega-scale datasets. Nat Commun. 2021 06 10; 12(1):3546.
    View in: PubMed
    Score: 0.031
  6. Torres-Sánchez S, Medina-Medina N, Gignoux C, Abad-Grau MM, González-Burchard E. GeneOnEarth: fitting genetic PC plots on the globe. IEEE/ACM Trans Comput Biol Bioinform. 2013 Jul-Aug; 10(4):1009-16.
    View in: PubMed
    Score: 0.018
  7. Granka JM, Henn BM, Gignoux CR, Kidd JM, Bustamante CD, Feldman MW. Limited evidence for classic selective sweeps in African populations. Genetics. 2012 Nov; 192(3):1049-64.
    View in: PubMed
    Score: 0.017
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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