[Cite as http://purl.org/au-research/grants/arc/DP130102124]
Researchers A/Prof Jinyan Li; Dr Daniel Catchpoole; Prof Limsoon Wong
Brief description Negative correlations are widely embedded in real life applications, but in-depth research has rarely been conducted due to its high level of complexity. This project aims at efficient algorithms and frontier theory for finding large negative correlations, to enable smart information use in bioinformatics to promote Australia's leading role in data mining research.
Funding Amount $320,000
Funding Scheme Discovery Projects