Backman TWH, Girke T (2016) bioassayR: Cross-Target Analysis of Small Molecule Bioactivity. J. Chem. Inf. Model. 56: 1237-1242,<doi:10.1021/acs.jcim.6b00109>.

Corresponding BibTeX entry:

  @Article{,
    title = {bioassayR: {Cross-Target} Analysis of Small Molecule
      Bioactivity},
    author = {{Backman} and Tyler William H and {Girke} and {Thomas}},
    abstract = {Despite a large and rapidly growing body of small
      molecule bioactivity screens available in the public domain,
      systematic leverage of the data to assess target druggability and
      compound selectivity has been confounded by a lack of suitable
      cross-target analysis software. We have developed bioassayR, a
      computational tool that enables simultaneous analysis of
      thousands of bioassay experiments performed over a diverse set of
      compounds and biological targets. Unique features include support
      for large-scale cross-target analyses of both public and custom
      bioassays, generation of high throughput screening fingerprints
      (HTSFPs), and an optional preloaded database that provides access
      to a substantial portion of publicly available bioactivity data.
      bioassayR is implemented as an open-source R/Bioconductor package
      available from https://bioconductor.org/packages/bioassayR/ .},
    journal = {J. Chem. Inf. Model.},
    volume = {56},
    number = {7},
    pages = {1237--1242},
    month = {jul},
    year = {2016},
    language = {en},
    doi = {10.1021/acs.jcim.6b00109},
    url = {https://doi.org/10.1021/acs.jcim.6b00109},
  }