%0 Journal Article %1 liang2019learning %A Liang, Xujun %A Zhang, Pengfei %A Li, Jun %A Fu, Ying %A Qu, Lingzhi %A Chen, Yongheng %A Chen, Zhuchu %D 2019 %I BioMed Central %J Journal of Cheminformatics %K multi view learning machine laplacian laplace matrix constrained lasso constraint drug effect side effects graph network correlation cordis overlap citedby:scholar:count:1 citedby:scholar:timestamp:2020-7-8 %N 1 %P 1--17 %T Learning important features from multi-view data to predict drug side effects %V 11

@article{liang2019learning, added-at = {2020-07-08T17:57:30.000+0200}, author = {Liang, Xujun and Zhang, Pengfei and Li, Jun and Fu, Ying and Qu, Lingzhi and Chen, Yongheng and Chen, Zhuchu}, biburl = {https://www.bibsonomy.org/bibtex/24669b8f92c1ccbb24f1283f5ff93bd1a/becker}, interhash = {a6fcd17bc16532250975c587b7c0351c}, intrahash = {4669b8f92c1ccbb24f1283f5ff93bd1a}, journal = {Journal of Cheminformatics}, keywords = {multi view learning machine laplacian laplace matrix constrained lasso constraint drug effect side effects graph network correlation cordis overlap citedby:scholar:count:1 citedby:scholar:timestamp:2020-7-8}, number = 1, pages = {1--17}, publisher = {BioMed Central}, timestamp = {2020-07-08T17:57:30.000+0200}, title = {Learning important features from multi-view data to predict drug side effects}, volume = 11, year = 2019 }