- Unique identifier:
- Network-based Laplacian regularized Least Square Synergistic drug combination prediction
No open topic.
(Chen et al., 2016)
NLLSS: Predicting Synergistic Drug Combinations Based on Semi-supervised Learning.
PLoS Comput Biol.
PMID: 27415801 DOI: 10.1371/journal.pcbi.1004975
School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China; Chinese Academy of Sciences Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China; State Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, Sichuan, China; University of Chinese Academy of Sciences, Beijing, China; South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China; Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China
Supported by National Natural Science Foundation of China (11301517, 11371355, 10531070, 10721101, 30973665, 30700015, 30901849, 30910376, 30911120484, 81011120046 and 30911120483), National 863 Project (2006AA09Z402, 2007AA09Z443), Key Project for International Cooperation (2007DFB31620), National Key Technology R&D Program (2007BAI26B02), the CAS Pillar Program (KSCX2-YW-R-164), Important National Science & Technology Specific Projects (2008ZX09401-05, 2009ZX09302-004), and National Center for Mathematics and Interdisciplinary Sciences, CAS.
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