Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Open Access

Peer-reviewed

Research Article

Computational Selection of Transcriptomics Experiments Improves Guilt-by-Association Analyses

  • Prajwal Bhat,

    Affiliations School of Biological Sciences, Royal Holloway University of London, Egham, United Kingdom, Department of Computer Science, Royal Holloway University of London, Egham, United Kingdom, Centre for Systems and Synthetic Biology, Royal Holloway University of London, Egham, United Kingdom

    ⨯
  • Haixuan Yang,

    Affiliations Department of Computer Science, Royal Holloway University of London, Egham, United Kingdom, Centre for Systems and Synthetic Biology, Royal Holloway University of London, Egham, United Kingdom

    ⨯
  • László Bögre,

    Affiliations School of Biological Sciences, Royal Holloway University of London, Egham, United Kingdom, Centre for Systems and Synthetic Biology, Royal Holloway University of London, Egham, United Kingdom

    ⨯
  • Alessandra Devoto ,

    alessandra.devoto@rhul.ac.uk (AD); alberto@cs.rhul.ac.uk (AP)

    Affiliations School of Biological Sciences, Royal Holloway University of London, Egham, United Kingdom, Centre for Systems and Synthetic Biology, Royal Holloway University of London, Egham, United Kingdom

    ⨯
  • Alberto Paccanaro

    alessandra.devoto@rhul.ac.uk (AD); alberto@cs.rhul.ac.uk (AP)

    Affiliations Department of Computer Science, Royal Holloway University of London, Egham, United Kingdom, Centre for Systems and Synthetic Biology, Royal Holloway University of London, Egham, United Kingdom

    ⨯

Viewed

Cited

Saved

Discussed

Powered by Altmetric
Questions or concerns about usage data? Please let us know.