JDSNMF: Joint Deep Semi-Non-Negative Matrix Factorization for Learning Integrative Representation of Molecular Signals in Alzheimer’s Disease

Research article (Journal of Personalized Medicine, 2021) · cited 20× · AI/ML
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JDSNMF: Joint Deep Semi-Non-Negative Matrix Factorization for Learning Integrative Representation of Molecular Signals in Alzheimer’s Disease

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JDSNMF: Joint Deep Semi-Non-Negative Matrix Factorization for Learning Integrative Representation of Molecular Signals in Alzheimer’s Disease is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). JDSNMF: Joint Deep Semi-Non-Negative Matrix Factorization for Learning Integrative Representation of Molecular Signals in Alzheimer’s Disease. Retrieved May 24, 2026, from https://4ort.xyz/entity/jdsnmf-joint-deep-semi-non-negative-matrix-factorization-for-learning-integrative-representation-of-molecular-signals-in
MLA “JDSNMF: Joint Deep Semi-Non-Negative Matrix Factorization for Learning Integrative Representation of Molecular Signals in Alzheimer’s Disease.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/jdsnmf-joint-deep-semi-non-negative-matrix-factorization-for-learning-integrative-representation-of-molecular-signals-in.
BibTeX @misc{4ortxyz_jdsnmf-joint-deep-semi-non-negative-matrix-factorization-for-learning-integrative-representation-of-molecular-signals-in_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{JDSNMF: Joint Deep Semi-Non-Negative Matrix Factorization for Learning Integrative Representation of Molecular Signals in Alzheimer’s Disease}}, year = {2026}, url = {https://4ort.xyz/entity/jdsnmf-joint-deep-semi-non-negative-matrix-factorization-for-learning-integrative-representation-of-molecular-signals-in}, note = {Accessed: 2026-05-24}}
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