%0 Journal Article %1 journals/bioinformatics/OellrichJPS14 %A Oellrich, Anika %A Jacobsen, Julius O. B. %A Papatheodorou, Irene %A Smedley, Damian %D 2014 %J Bioinform. %K dblp %N 12 %P 52-59 %T Using association rule mining to determine promising secondary phenotyping hypotheses. %U http://dblp.uni-trier.de/db/journals/bioinformatics/bioinformatics30.html#OellrichJPS14 %V 30

@article{journals/bioinformatics/OellrichJPS14, added-at = {2020-03-02T00:00:00.000+0100}, author = {Oellrich, Anika and Jacobsen, Julius O. B. and Papatheodorou, Irene and Smedley, Damian}, biburl = {https://www.bibsonomy.org/bibtex/2b7b7888817b7df976788ee48b34ea8a9/dblp}, ee = {https://www.wikidata.org/entity/Q33760921}, interhash = {812aa827ca2e8bfa293f9f188e611a82}, intrahash = {b7b7888817b7df976788ee48b34ea8a9}, journal = {Bioinform.}, keywords = {dblp}, number = 12, pages = {52-59}, timestamp = {2020-03-03T11:58:04.000+0100}, title = {Using association rule mining to determine promising secondary phenotyping hypotheses.}, url = {http://dblp.uni-trier.de/db/journals/bioinformatics/bioinformatics30.html#OellrichJPS14}, volume = 30, year = 2014 }