Sandra Safo

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University of Minnesota

United States

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

Open Date: 2021-09-23

Close Date: 2026-06-30

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Collaborators (22)

Yinjie Qiu

University of Minnesota

UNITED STATES

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Adrian Gabriel Zucco

Københavns Universitet

DENMARK

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David P. Darrow

UNITED STATES

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Susan Racette

Professor

Arizona State University

UNITED STATES

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Elaine Hill

Associate Professor

University of Rochester

UNITED STATES

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Daniel Duprez

Professor of Medicine/Cardiology

University of Minnesota

UNITED STATES

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Alejandro Arenas-Pinto

University College London

UNITED KINGDOM

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Dongmei Li

Associate Professor

University of Rochester

UNITED STATES

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Patrycja Puchalska

University of Minnesota

UNITED STATES

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Jessica Islam

Assistant Professor

H Lee Moffitt Cancer Center and Research Institute

UNITED STATES

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Justin Hwang

Assistant Professor

University of Minnesota

UNITED STATES

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Ju Sun

University of Minnesota

UNITED STATES

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Eric F Lock

University of Minnesota

UNITED STATES

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Jennifer Ross

University of Washington

UNITED STATES

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Lynn Eberly

University of Minnesota

UNITED STATES

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Ida Fonkoue

University of Minnesota

UNITED STATES

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Braedan McCluskey

Bioinformatics Research Professional

University of Minnesota

UNITED STATES

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Mamta Jain

Professor

University of Texas Southwestern Medical Center

UNITED STATES

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Rena Patel

The University of Alabama

UNITED STATES

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Nada Fadul

UNITED STATES

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Mark Polizzotto

Program Head

The Kirby Institute

AUSTRALIA

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Nicholas Ingraham

University of Minnesota

UNITED STATES

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Sandra Safo

Research Interests

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Contact this professor

Recent Grants

Articles (27)

Deciphering Colorectal Cancer–Hepatocyte Interactions: A Multiomics Platform for Interrogation of Metabolic Crosstalk in the Liver–Tumor Microenvironment

Sleep as a possible mediator in the association of mental health parameters with cardiovascular health indices in women

Extensions of Heterogeneity in Integration and Prediction (HIP) With R Shiny Application

Putting computational models of immunity to the test—An invited challenge to predict B.pertussis vaccination responses

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)

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

Interpretable deep learning methods for multiview learning

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)

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

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

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

mvlearnR and Shiny App for multiview learning

Scalable randomized kernel methods for multiview data integration and prediction with application to Coronavirus disease

SARS-CoV-2 infection is associated with intestinal permeability, systemic inflammation, and microbial dysbiosis in hospitalized patients

HIP

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

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

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

Bayesian integrative analysis and prediction with application to atherosclerosis cardiovascular disease

Sparse sliced inverse regression for high dimensional data analysis

Robust integrative biclustering for multi-view data

sJIVE

Sparse linear discriminant analysis for multiview structured data

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

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

Maternal HIV and child anthropometric outcomes over time

Sparse reduced-rank regression for integrating omics data

Collaborators (22)

Yinjie Qiu

Adrian Gabriel Zucco

David P. Darrow

Susan Racette

Elaine Hill

Daniel Duprez

Alejandro Arenas-Pinto

Dongmei Li

Patrycja Puchalska

Jessica Islam

Justin Hwang

Ju Sun

Eric F Lock

Jennifer Ross

Lynn Eberly

Ida Fonkoue

Braedan McCluskey

Mamta Jain

Rena Patel

Nada Fadul

Mark Polizzotto

Nicholas Ingraham

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