New Results
Generating synthetic aging trajectories with a weighted network model using cross-sectional data
Spencer Farrell, Arnold Mitnitski, Kenneth Rockwood, Andrew Rutenberg
doi: https://doi.org/10.1101/2020.02.14.949560
Spencer Farrell
1Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada
Arnold Mitnitski
2Division of Geriatric Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
Kenneth Rockwood
2Division of Geriatric Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
Andrew Rutenberg
1Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada
Article usage
Posted October 26, 2020.
Generating synthetic aging trajectories with a weighted network model using cross-sectional data
Spencer Farrell, Arnold Mitnitski, Kenneth Rockwood, Andrew Rutenberg
bioRxiv 2020.02.14.949560; doi: https://doi.org/10.1101/2020.02.14.949560
Subject Area
Subject Areas
- Biochemistry (11736)
- Bioengineering (8749)
- Bioinformatics (29186)
- Biophysics (14964)
- Cancer Biology (12086)
- Cell Biology (17403)
- Clinical Trials (138)
- Developmental Biology (9418)
- Ecology (14176)
- Epidemiology (2067)
- Evolutionary Biology (18299)
- Genetics (12235)
- Genomics (16795)
- Immunology (11863)
- Microbiology (28066)
- Molecular Biology (11582)
- Neuroscience (60936)
- Paleontology (451)
- Pathology (1870)
- Pharmacology and Toxicology (3238)
- Physiology (4956)
- Plant Biology (10423)
- Synthetic Biology (2883)
- Systems Biology (7338)
- Zoology (1650)