SFLLN: A sparse feature learning ensemble method with linear neighborhood regularization for predicting drug–drug interactions-Reference-Cited by-同舟云学术

SFLLN: A sparse feature learning ensemble method with linear neighborhood regularization for predicting drug–drug interactions

Published:2019-09 Issue: Volume:497 Page:189-201
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Zhang Wen,Jing Kanghong,Huang Feng,Chen Yanlin,Li Bolin,Li Jinghao,Gong Jing

Funder

National Natural Science Foundation of China

Fundamental Research Funds

National Key Research and Development Program

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

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4. A meta-learning framework using representation learning to predict drug-drug interaction;Deepika;J. Biomed. Inform.,2018

5. Convex and semi-nonnegative matrix factorizations;Ding;IEEE Trans. Pattern Anal. Mach. Intell.,2010

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