Works by Howey, Richard

Results: 16
    1

    Bayesian network imputation methods applied to multi-omics data identify putative causal relationships in a type 2 diabetes dataset containing incomplete data: An IMI DIRECT Study.

    Published in:
    PLoS Genetics, 2025, v. 21, n. 7, p. 1, doi. 10.1371/journal.pgen.1011776
    By:
    • Howey, Richard;
    • Adam, Jonathan;
    • Adamski, Jerzy;
    • Atabaki, Natalie N.;
    • Brunak, Søren;
    • Chmura, Piotr Jaroslaw;
    • De Masi, Federico;
    • Dermitzakis, Emmanouil T.;
    • Fernandez-Tajes, Juan J.;
    • Forgie, Ian M.;
    • Franks, Paul W.;
    • Giordano, Giuseppe N.;
    • Haid, Mark;
    • Hansen, Torben;
    • Hansen, Tue H.;
    • Harms, Peter P.;
    • Hattersley, Andrew T.;
    • Hong, Mun-gwan;
    • Jacobsen, Ulrik Plesner;
    • Jones, Angus G.
    Publication type:
    Article
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    Causal modeling in a multi-omic setting: insights from GAW20.

    Published in:
    BMC Genetics, 2018, v. 19, n. 1, p. N.PAG, doi. 10.1186/s12863-018-0645-4
    By:
    • Auerbach, Jonathan;
    • Howey, Richard;
    • Jiang, Lai;
    • Justice, Anne;
    • Li, Liming;
    • Oualkacha, Karim;
    • Sayols-Baixeras, Sergi;
    • Aslibekyan, Stella W.
    Publication type:
    Article
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    Valuing Technology.

    Published in:
    Knowledge, Technology & Policy, 2004, v. 17, n. 3/4, p. 44, doi. 10.1007/s12130-004-1003-6
    By:
    • Howey, Richard A.
    Publication type:
    Article
    16

    Understanding Software Technology.

    Published in:
    Knowledge, Technology & Policy, 2002, v. 15, n. 3, p. 70, doi. 10.1007/s12130-002-1006-0
    By:
    • Howey, Richard A.
    Publication type:
    Article