Interpretable machine learning for high-dimensional trajectories of aging health.
- Published in:
- PLoS Computational Biology, 2022, v. 18, n. 1, p. 1, doi. 10.1371/journal.pcbi.1009746
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- Publication type:
- Article
Works by Rutenberg, Andrew D
Results: 8
1
2
PEX5 and Ubiquitin Dynamics on Mammalian Peroxisome Membranes.
- Published in:
- PLoS Computational Biology, 2014, v. 10, n. 1, p. 1, doi. 10.1371/journal.pcbi.1003426
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- Publication type:
- Article
3
Network dynamical stability analysis reveals key "mallostatic" natural variables that erode homeostasis and drive age-related decline of health.
- Published in:
- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-49129-7
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- Publication type:
- Article
4
Modelling lifespan reduction in an exogenous damage model of generic disease.
- Published in:
- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-43005-0
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- Publication type:
- Article
5
Measurements of damage and repair of binary health attributes in aging mice and humans reveal that robustness and resilience decrease with age, operate over broad timescales, and are affected differently by interventions.
- Published in:
- eLife, 2022, p. 1, doi. 10.7554/eLife.77632
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- Publication type:
- Article
6
Subcellular Min Oscillations as a Single-Cell Reporter of the Action of Polycations, Protamine, and Gentamicin on Escherichia coli.
- Published in:
- PLoS ONE, 2009, v. 4, n. 9, p. 1, doi. 10.1371/journal.pone.0007285
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- Publication type:
- Article
7
Dynamical Network Stability Analysis of Multiple Biological Ages Provides a Framework for Understanding the Aging Process.
- Published in:
- Journals of Gerontology Series A: Biological Sciences & Medical Sciences, 2024, v. 79, n. 10, p. 1, doi. 10.1093/gerona/glae021
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- Publication type:
- Article
8
αTAT1 controls longitudinal spreading of acetylation marks from open microtubules extremities.
- Published in:
- Scientific Reports, 2016, p. 35624, doi. 10.1038/srep35624
- By:
- Publication type:
- Article