@inproceedings{afa2a61055ed48519977c2a95bbe5fae,
title = "A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information",
author = "Yunan Luo and Xinbin Zhao and Jingtian Zhou and Jinling Yang and Yanqing Zhang and Wenhua Kuang and Jian Peng and Ligong Chen and Jianyang Zeng",
note = "Funding Information: This work was supported in part by the National Basic Research Program of China (Grant 2011CBA00300 and 2011CBA00301), the National Natural Science Foundation of China (Grant 61033001, 61361136003, 61472205 and 81470839), the China{\textquoteright}s Youth 1000-Talent Program, the Beijing Advanced Innovation Center for Structural Biology, and the Tsinghua University Initiative Scientific Research Program (Grant. 20161080086). J.P. received support as an Alfred P. Sloan Research Fellow. We acknowledge the support of NVIDIA Corporation with the donation of the Titan X GPU used for this research.; 21st Annual International Conference on Research in Computational Molecular Biology, RECOMB 2017 ; Conference date: 03-05-2017 Through 07-05-2017",
year = "2017",
language = "English (US)",
isbn = "9783319569697",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "383--384",
editor = "S.Cenk Sahinalp",
booktitle = "Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings",
address = "Germany",
}