citEntry(entry="article",
         title    = "bioassayR: {Cross-Target} Analysis of Small Molecule Bioactivity",
         author   = "Backman, Tyler William H and Girke, 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",
         textVersion = paste("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."))
