Bioassay data analysis using scaffold associations. Presented at the UNM Staff Research Expo, Jan 27, 2017. High throughput screening (HTS) data analysis continues to be an essential, routine, yet challenging task in drug discovery: to infer reliable knowledge from big and noisy data. Bioassays require complex methodology, and results vary widely in accuracy, precision, and content. Hit selection criteria should optimize the overall probability of success in a project, and avoid expensive “false trails” such as promiscuous compounds. At UNMCMD, our experience in the NIH Molecular Libraries Project (MLP) motivated and informed this research.