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Research Article

A Semi-Supervised Method for Predicting Transcription Factor–Gene Interactions in Escherichia coli

  • Jason Ernst,

    Affiliation: Machine Learning Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America

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  • Qasim K. Beg,

    Affiliation: Department of Pathology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America

    Current address: Department of Biomedical Engineering, Boston University, Boston, Massachusetts, United States of America

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  • Krin A. Kay,

    Affiliation: Department of Pathology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America

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  • Gábor Balázsi,

    Affiliation: Department of Systems Biology, University of Texas M. D. Anderson Cancer Center, Houston, Texas, United States of America

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  • Zoltán N. Oltvai,

    Affiliation: Department of Pathology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America

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  • Ziv Bar-Joseph mail

    zivbj@cs.cmu.edu

    Affiliation: Machine Learning Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America

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  • Published: March 28, 2008
  • DOI: 10.1371/journal.pcbi.1000044

About the Authors

Jason Ernst, Ziv Bar-Joseph
Machine Learning Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America
Qasim K. Beg, Krin A. Kay, Zoltán N. Oltvai
Department of Pathology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
Gábor Balázsi
Department of Systems Biology, University of Texas M. D. Anderson Cancer Center, Houston, Texas, United States of America

Corresponding Author

Email: zivbj@cs.cmu.edu

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: JE ZO ZB-J. Performed the experiments: JE QB KK. Analyzed the data: JE QB GB ZB-J. Contributed reagents/materials/analysis tools: JE ZB-J. Wrote the paper: JE QB ZO ZB-J.