%0 Journal Article %1 journals/access/ZhangSCDLRHDZ20 %A Zhang, Yexian %A Shi, Ruoyao %A Chen, Chaorong %A Duan, Meiyu %A Liu, Shuai %A Ren, Yanjiao %A Huang, Lan %A Dai, Xiaofeng %A Zhou, Fengfeng %D 2020 %J IEEE Access %K dblp %P 5121-5130 %T ELMO: An Efficient Logistic Regression-Based Multi-Omic Integrated Analysis Method for Breast Cancer Intrinsic Subtypes. %U http://dblp.uni-trier.de/db/journals/access/access8.html#ZhangSCDLRHDZ20 %V 8

@article{journals/access/ZhangSCDLRHDZ20, added-at = {2020-03-04T00:00:00.000+0100}, author = {Zhang, Yexian and Shi, Ruoyao and Chen, Chaorong and Duan, Meiyu and Liu, Shuai and Ren, Yanjiao and Huang, Lan and Dai, Xiaofeng and Zhou, Fengfeng}, biburl = {https://www.bibsonomy.org/bibtex/2c7fd30c6bb67e21f4b566a208c4813d1/dblp}, ee = {https://doi.org/10.1109/ACCESS.2019.2960373}, interhash = {845e6a961b182d66d2dc68e0348ca1d1}, intrahash = {c7fd30c6bb67e21f4b566a208c4813d1}, journal = {IEEE Access}, keywords = {dblp}, pages = {5121-5130}, timestamp = {2020-03-05T11:42:07.000+0100}, title = {ELMO: An Efficient Logistic Regression-Based Multi-Omic Integrated Analysis Method for Breast Cancer Intrinsic Subtypes.}, url = {http://dblp.uni-trier.de/db/journals/access/access8.html#ZhangSCDLRHDZ20}, volume = 8, year = 2020 }