Multiple Partial Regularized Nonnegative Matrix Factorization for Predicting Ontological Functions of lncRNAs. [PDF]
Front Genet, 2018 Zhao J, Ma X.
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Detecting drug communities and predicting comprehensive drug-drug interactions via balance regularized semi-nonnegative matrix factorization. [PDF]
J Cheminform, 2019 Shi JY, Mao KT, Yu H, Yiu SM.
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A Geometric Approach to Archetypal Analysis and Nonnegative Matrix Factorization. [PDF]
Technometrics, 2017 Damle A, Sun Y.
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Predicting and understanding comprehensive drug-drug interactions via semi-nonnegative matrix factorization. [PDF]
BMC Syst Biol, 2018 Yu H +6 more
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Nonnegative Matrix Factorization for identification of unknown number of sources emitting delayed signals. [PDF]
PLoS One, 2018 Iliev FL +3 more
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Hierarchical community detection via rank-2 symmetric nonnegative matrix factorization. [PDF]
Comput Soc Netw, 2017 Du R, Kuang D, Drake B, Park H.
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Adaptive Multiview Nonnegative Matrix Factorization Algorithm for Integration of Multimodal Biomedical Data. [PDF]
Cancer Inform, 2017 Ray B, Liu W, Fenyö D.
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A Robust Manifold Graph Regularized Nonnegative Matrix Factorization Algorithm for Cancer Gene Clustering. [PDF]
Molecules, 2017 Zhu R, Liu JX, Zhang YK, Guo Y.
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Constrained Nonnegative Matrix Factorization for Image Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012 Nonnegative matrix factorization (NMF) is a popular technique for finding parts-based, linear representations of nonnegative data. It has been successfully applied in a wide range of applications such as pattern recognition, information retrieval, and ...
Thomas Huang, Deng Cai, Xuelong Li
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