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  1. No Access

    Article

    Applications of machine learning in drug discovery and development

    Drug discovery and development pipelines are long, complex and depend on numerous factors. Machine learning (ML) approaches provide a set of tools that can improve discovery and decision making for well-specif...

    Jessica Vamathevan, Dominic Clark, Paul Czodrowski… in Nature Reviews Drug Discovery (2019)

  2. Article

    Open Access

    Systematic chemical-genetic and chemical-chemical interaction datasets for prediction of compound synergism

    The network structure of biological systems suggests that effective therapeutic intervention may require combinations of agents that act synergistically. However, a dearth of systematic chemical combination da...

    Jan Wildenhain, Michaela Spitzer, Sonam Dolma, Nick Jarvik, Rachel White… in Scientific Data (2016)

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  3. No Access

    Article

    BoxPlotR: a web tool for generation of box plots

    Michaela Spitzer, Jan Wildenhain, Juri Rappsilber, Mike Tyers in Nature Methods (2014)