Projects per year
Personal profile
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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Collaborations and top research areas from the last five years
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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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MultiViewPortal: Towards a Scalable Web Application for Multiview Learning
National Institute of General Medical Sciences
9/23/21 → 6/30/24
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 → 7/31/24
Project: Research project
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Comprehensive Assessment Of Signal Transduction Pathways In Sarcoidosis
Bhargava, M., Drake, J. M. & Safo, S.
FOUNDATION FOR SARCOIDOSIS RESEARCH
9/1/21 → 9/1/24
Project: Research project
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Flexible multi-step hypothesis testing of human ECoG data using cluster-based permutation tests with GLMEs
König, S. D., Safo, S., Miller, K., Herman, A. B. & Darrow, D. P., Apr 15 2024, In: NeuroImage. 290, 120557.Research output: Contribution to journal › Article › peer-review
Open Access -
Interpretable deep learning methods for multiview learning
Wang, H., Lu, H., Sun, J. & Safo, S. E., Dec 2024, In: BMC bioinformatics. 25, 1, 69.Research output: Contribution to journal › Article › peer-review
Open Access -
mvlearnR and Shiny App for multiview learning
Palzer, E. F. & Safo, S. E., 2024, In: Bioinformatics Advances. 4, 1, vbae005.Research output: Contribution to journal › Article › peer-review
Open Access -
The Intersections of COVID-19, HIV, and Race/Ethnicity: Machine Learning Methods to Identify and Model Risk Factors for Severe COVID-19 in a Large U.S. National Dataset
Kunz, M., Rott, K. W., Hurwitz, E., Kunisaki, K., Sun, J., Wilkins, K. J., Islam, J. Y., Patel, R. & Safo, S. E., 2024, (Accepted/In press) In: AIDS and Behavior.Research output: Contribution to journal › Article › peer-review
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Bayesian integrative analysis and prediction with application to atherosclerosis cardiovascular disease
Chekouo, T. & Safo, S. E., Jan 1 2023, In: Biostatistics. 24, 1, p. 124-139 16 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations