GC $$^2$$ 2 NMF: A Novel Matrix Factorization Framework for Gene–Phenotype Association Prediction-Reference-Cited by-同舟云学术

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GC $$^2$$ 2 NMF: A Novel Matrix Factorization Framework for Gene–Phenotype Association Prediction

Published:2018-04-24 Issue:3 Volume:10 Page:572-582
ISSN:1913-2751
Container-title:Interdisciplinary Sciences: Computational Life Sciences
language:en
Short-container-title:Interdiscip Sci Comput Life Sci

Author:

Zhang Yaogong,Liu Jiahui,Liu Xiaohu,Hong Yuxiang,Fan Xin,Huang Yalou,Wang Yuan,Xie Maoqiang

Funder

National Natural Science Foundation of China

The Research Prcan be expressed as follows:oject of Tianjin Municipal Commission of Education

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Computer Science Applications,General Biochemistry, Genetics and Molecular Biology

Link

http://link.springer.com/article/10.1007/s12539-018-0296-1/fulltext.html

Reference25 articles.

1. Ali Mashhoori SH (2012) Incorporating hierarchical information into the matrix factorization model for collaborative filtering. Lecture notes in computer science. Springer, Berlin, Heidelberg

2. Benzi K, Kalofolias V, Bresson X, Vandergheynst P (2016) Song recommendation with non-negative matrix factorization and graph total variation

3. Bult CJ, Eppig JT, Kadin JA, Richardson JE, Blake JA (2007) The mouse genome database (MGD): mouse biology and model systems. Nucleic Acids Res 36(Database):D724–D728. https://doi.org/10.1093/nar/gkm961

4. Cai D, He X, Han J, Huang TS (2011) Graph regularized nonnegative matrix factorization for data representation. IEEE Trans Pattern Anal Mach Intell 8:1548–1560. https://doi.org/10.1109/TPAMI.2010.231

5. Chatr-Aryamontri A, Breitkreutz BJ, Heinicke S et al (2013) The BioGRID interaction database: 2013 update. Nucleic Acids Res 41(Database):D816–D823. https://doi.org/10.1093/nar/gks1158

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