Output details
11 - Computer Science and Informatics
Aston University
Increased diversity of libraries from libraries:
chemoinformatic analysis of bis-diazacyclic libraries
<24> This paper provides an improved visual analytics approach for high-throughput chemometrics using non-linear high-dimensional machine-learning techniques that outperform other methods. It is based on a CASE studentship with Pfizer Central Research (value £80,000) and a group at Torrey Pines Institute of Molecular Studies. The software is available to the international academic community for download (http://www1.aston.ac.uk/eas/research/groups/ncrg/resources/netlab/downloads/) under an open-source licence. Projects using this tool were carried out with Daden Ltd. for dstl (david.burden@daden.co.uk), Lein Diagnostics Ltd. (dan.daly@lein-ad.com) and WheelRight (john.catling@wheelright.co.uk) - total value c. £100k.