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Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
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Projects
- 7 Active
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The tale of two pandemics: Insights from the collision of the HIV and COVID-19 epidemics in the U.S.
7/8/22 → 5/31/23
Project: Research project
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Statistical and Machine Learning Methods to Address Biomedical Challenges for Integrating Multi-view Data
NIH NIGMS NATL INST OF GENERAL
9/23/21 → 6/30/26
Project: Research project
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Circuit-based deep brain stimulation for Parkinson's disease
Vitek, J. L., Aman, J. E., Cooper, S., Darrow, D., Escobar Sanabria, D., Hayden, B. Y., Herman, A. B., Holker, E. G., Johnson, L. A., McGovern, R. A., Moeller, S., Netoff, T. I., Park, M. C., Patriat, R., Safo, S., Schrock, L. E., Wang, J., Watson, P. J., Widge, A. S. & Yacoub, E.
NIH NAT INST OF NEURO DISORDERS & STROKE
9/17/21 → 7/31/23
Project: Research project
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Bayesian integrative analysis and prediction with application to atherosclerosis cardiovascular disease
Chekouo Tekougang, T. & Safo, S. E., Dec 12 2022, In: Biostatistics (Oxford, England). 24, 1, p. 124-139 16 p.Research output: Contribution to journal › Article › peer-review
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Deep IDA: A Deep Learning Method for Integrative Discriminant Analysis of Multi-View Data with Feature Ranking–An Application to COVID-19 severity
Wang, J. & Safo, S., 2022, In: arXiv. arXiv:2111.09964v1Research output: Contribution to journal › Article
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Multi-omic analysis reveals enriched pathways associated with COVID-19 and COVID-19 severity
Lipman, D., Safo, S. E. & Chekouo Tekougang, T., Apr 2022, In: PloS one. 17, 4 April, e0267047.Research output: Contribution to journal › Article › peer-review
Open Access -
Robust integrative biclustering for multi-view data
Zhang, W., Wendt, C., Bowler, R., Hersh, C. P. & Safo, S. E., Nov 2022, In: Statistical methods in medical research. 31, 11, p. 2201-2216 16 p.Research output: Contribution to journal › Article › peer-review
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sJIVE: Supervised joint and individual variation explained
Palzer, E. F., Wendt, C. H., Bowler, R. P., Hersh, C. P., Safo, S. E. & Lock, E. F., Nov 2022, In: Computational Statistics and Data Analysis. 175, 107547.Research output: Contribution to journal › Article › peer-review