Integrating Multi-omics Data for Alzheimer’s Disease to Explore Its Biomarkers Via the Hypergraph-Regularized Joint Deep Semi-Non-Negative Matrix Factorization Algorithm-Reference-Cited by-同舟云学术

Integrating Multi-omics Data for Alzheimer’s Disease to Explore Its Biomarkers Via the Hypergraph-Regularized Joint Deep Semi-Non-Negative Matrix Factorization Algorithm

Published:2024-04-15 Issue:2 Volume:74 Page:
ISSN:1559-1166
Container-title:Journal of Molecular Neuroscience
language:en
Short-container-title:J Mol Neurosci

Author:

Tu Kun,Zhou Wenhui,Kong Shubing

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12031-024-02211-9.pdf

Reference53 articles.

1. Aggleton JP, Pralus A, Nelson AJ, Hornberger M (2016) Thalamic pathology and memory loss in early Alzheimer’s disease: moving the focus from the medial temporal lobe to Papez circuit. Brain 139:1877–1890

2. Aibar S, González-Blas CB, Moerman T, Huynh-Thu VA, Imrichova H, Hulselmans G, Rambow F, Marine JC, Geurts P, Aerts J et al (2017) SCENIC: single-cell regulatory network inference and clustering. Nat Methods 14:1083–1086

3. Aran D, Looney AP, Liu L, Wu E, Fong V, Hsu A, Chak S, Naikawadi RP, Wolters PJ, Abate AR et al (2019) Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage. Nat Immunol 20:163–172

4. Ban Y, Lao H, Li B, Su W, Zhang X (2023) Diagnosis of Alzheimer’s disease using hypergraph p-Laplacian regularized multi-task feature learning. J Biomed Inform 140:104326

5. Bhalla M, Lee CJ (2024) Long-term inhibition of ODC1 in APP/PS1 mice rescues amyloid pathology and switches astrocytes from a reactive to active state. Mol Brain 17:3

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