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Research Article

Conditional Random Fields for Fast, Large-Scale Genome-Wide Association Studies

  • Jim C. Huang,

    Affiliation: Microsoft Research, Redmond, Washington, United States of America

    X
  • Christopher Meek,

    Affiliation: Microsoft Research, Redmond, Washington, United States of America

    X
  • Carl Kadie,

    Affiliation: Microsoft Research, Redmond, Washington, United States of America

    X
  • David Heckerman mail

    heckerma@microsoft.com

    Affiliation: Microsoft Research, Redmond, Washington, United States of America

    X
  • Published: July 12, 2011
  • DOI: 10.1371/journal.pone.0021591

About the Authors

Jim C. Huang, Christopher Meek, Carl Kadie, David Heckerman
Microsoft Research, Redmond, Washington, United States of America

Corresponding Author

Email: heckerma@microsoft.com

Competing Interests

The authors are affiliated with Microsoft Corporation. This does not alter the authors' adherence to all the PLoS ONE policies on sharing data and materials.

Author Contributions

Conceived and designed the experiments: JH CM DH. Performed the experiments: JH. Analyzed the data: JH. Wrote the paper: JH CM DH. Contributed source code and computational analysis tools: CK.