cmFSM: a scalable CPU-MIC coordinated drug-finding tool by frequent subgraph mining

Author:

Yang Shunyun,Guo Runxin,Liu Rui,Liao Xiangke,Zou Quan,Shi Benyun,Peng Shaoliang

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Reference28 articles.

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2. Lin W. Efficient techniques for subgraph mining and query processing. Singapore: School of Computer Engineering, Nanyang Technological University; 2015.

3. Huan J, Wang W, Prins J, et al. SPIN: mining maximal frequent subgraphs from graph databases. Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Seattle, Washington, Usa: August, DBLP; 2004. p. 581–6.

4. Jiang X, Xiong H, Wang C, et al. Mining globally distributed frequent subgraphs in a single labeled graph. Data Knowl Eng. 2009;68(10):1034–58.

5. Kuramochi M, Karypis G. Finding frequent patterns in a large sparse graph. Data Min Knowl Disc. 2005;11(3):243–71.

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3. A comparative chemogenic analysis for predicting Drug-Target Pair via Machine Learning Approaches;Scientific Reports;2020-04-22

4. Trends of Intel MIC Application In Bioinformatics;2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS);2019-10

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