Sandra Safo at University of Minnesota - Research Interests, Publications & Academic Profile

Sandra Safo

University of Minnesota

United States

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ORCID

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Research Interests

Epidemiology

70%

Virology

50%

Covid-19

60%

Sars-cov-2

40%

Population Health

30%

Hiv

30%

Cohort Study

30%

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Recent Grants

Grant: Open

Statistical and Machine Learning Methods to Address Biomedical Challenges for Integrating Multi-view Data

Open Date: 2021-09-23

Close Date: 2026-06-30

Articles20

Associations of County-Level Social Determinants of Health with COVID-19 Related Hospitalization Among People with HIV: A Retrospective Analysis of the U.S. National COVID Cohort Collaborative (N3C)

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Year:

2024

Flexible multi-step hypothesis testing of human ECoG data using cluster-based permutation tests with GLMEs

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2024

Interpretable deep learning methods for multiview learning

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Year:

2024

Assessing associations between individual-level social determinants of health and COVID-19 hospitalizations: Investigating racial/ethnic disparities among people living with human immunodeficiency virus (HIV) in the U.S. National COVID Cohort Collaborative (N3C)

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Year:

2024

DeepIDA-GRU: a deep learning pipeline for integrative discriminant analysis of cross-sectional and longitudinal multiview data with applications to inflammatory bowel disease classification

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2024

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

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Year:

2024

Deep IDA: a deep learning approach for integrative discriminant analysis of multi-omics data with feature ranking—an application to COVID-19

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2024

mvlearnR and Shiny App for multiview learning

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Year:

2024

Derivation of a Protein Risk Score for Cardiovascular Disease Among a Multiracial and Multiethnic HIV+ Cohort

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Year:

2023

Development of a proteomic signature associated with severe disease for patients with COVID-19 using data from 5 multicenter, randomized, controlled, and prospective studies

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Year:

2023

Integrative multi-omics approach for identifying molecular signatures and pathways and deriving and validating molecular scores for COVID-19 severity and status

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Year:

2023

Bayesian integrative analysis and prediction with application to atherosclerosis cardiovascular disease

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Year:

2022

Sparse sliced inverse regression for high dimensional data analysis

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Year:

2022

Robust integrative biclustering for multi-view data

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Year:

2022

sJIVE

Article Link

Year:

2022

Sparse linear discriminant analysis for multiview structured data

Article Link

Year:

2022

Multi-omic analysis reveals enriched pathways associated with COVID-19 and COVID-19 severity

Article Link

Year:

2022

Human immunotypes impose selection on viral genotypes through viral epitope specificity.

Article Link

Year:

2021

Maternal HIV and child anthropometric outcomes over time

Article Link

Year:

2020

Sparse reduced-rank regression for integrating omics data

Article Link

Year:

2020

Collaborators11

Adrian Gabriel Zucco

Københavns Universitet

DENMARK

David P. Darrow

UNITED STATES

Daniel Duprez

Professor of Medicine/Cardiology

University of Minnesota

UNITED STATES

Alejandro Arenas-Pinto

University College London

UNITED KINGDOM

Dongmei Li

Associate Professor

University of Rochester

UNITED STATES

Jessica Islam

Assistant Professor

H Lee Moffitt Cancer Center and Research Institute

UNITED STATES

Ju Sun

University of Minnesota

UNITED STATES

Eric F Lock

University of Minnesota

UNITED STATES

Mamta Jain

Professor

University of Texas Southwestern Medical Center

UNITED STATES

Rena Patel

The University of Alabama

UNITED STATES

Nicholas Ingraham

University of Minnesota

UNITED STATES

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