%0 Journal Article %1 journals/bioinformatics/SongLSC19 %A Song, Lei %A Liu, Aiyi %A Shi, Jianxin %A of Schizophrenia Consortium, Molecular Genetics %D 2019 %J Bioinform. %K dblp %N 20 %P 4038-4044 %T SummaryAUC: a tool for evaluating the performance of polygenic risk prediction models in validation datasets with only summary level statistics. %U http://dblp.uni-trier.de/db/journals/bioinformatics/bioinformatics35.html#SongLSC19 %V 35

@article{journals/bioinformatics/SongLSC19, added-at = {2020-08-13T00:00:00.000+0200}, author = {Song, Lei and Liu, Aiyi and Shi, Jianxin and of Schizophrenia Consortium, Molecular Genetics}, biburl = {https://www.bibsonomy.org/bibtex/2547650aaf2e406871037721e28bdad32/dblp}, ee = {https://www.wikidata.org/entity/Q95728093}, interhash = {b13b6d1206816d2ce4ef0781e40211f7}, intrahash = {547650aaf2e406871037721e28bdad32}, journal = {Bioinform.}, keywords = {dblp}, number = 20, pages = {4038-4044}, timestamp = {2020-08-14T11:47:15.000+0200}, title = {SummaryAUC: a tool for evaluating the performance of polygenic risk prediction models in validation datasets with only summary level statistics.}, url = {http://dblp.uni-trier.de/db/journals/bioinformatics/bioinformatics35.html#SongLSC19}, volume = 35, year = 2019 }