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

PloS one, 2022-04, Vol.17 (4), p.e0267047-e0267047

2022

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Sparse sliced inverse regression for high dimensional data analysis

BMC bioinformatics, 2022-05, Vol.23 (1), p.168-168, Article 168

2022

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

BMC genomics, 2023-06, Vol.24 (1), p.319-319, Article 319

2023

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Interpretable deep learning methods for multiview learning

BMC bioinformatics, 2024-02, Vol.25 (1), p.69-30, Article 69

2024

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Bayesian integrative analysis and prediction with application to atherosclerosis cardiovascular disease

Biostatistics (Oxford, England), 2022-12, Vol.24 (1), p.124

2022

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Integrative Analysis of Transcriptomic and Metabolomic Data via Sparse Canonical Correlation Analysis with Incorporation of Biological Information

Biometrics, 2018-03, Vol.74 (1), p.300-312

2018

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Sparse linear discriminant analysis for multiview structured data

Biometrics, 2022-06, Vol.78 (2), p.612-623

2022

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Sparse reduced-rank regression for integrating omics data

BMC bioinformatics, 2020-07, Vol.21 (1), p.1-283, Article 283

2020

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Penalized co-inertia analysis with applications to -omics data

Bioinformatics, 2019-03, Vol.35 (6), p.1018-1025

2019

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Incorporating biological information in sparse principal component analysis with application to genomic data

BMC bioinformatics, 2017-07, Vol.18 (1), p.332-332, Article 332

2017

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Sparse Generalized Eigenvalue Problem with Application to Canonical Correlation Analysis for Integrative Analysis of Methylation and Gene Expression Data

Biometrics, 2018-12, Vol.74 (4), p.1362-1371

2018

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General sparse multi-class linear discriminant analysis

Computational statistics & data analysis, 2016-07, Vol.99, p.81-90

2016

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

Bioinformatics advances, 2024-01, Vol.4 (1), p.vbae060

2024

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

NeuroImage (Orlando, Fla.), 2024-04, Vol.290, p.120557, Article 120557

2024

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

Scientific reports, 2024-07, Vol.14 (1), p.16370-1, Article 16370

2024

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Robust integrative biclustering for multi-view data

Statistical methods in medical research, 2022-11, Vol.31 (11), p.2201-2216

2022

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

Scientific reports, 2023-11, Vol.13 (1), p.20315-14, Article 20315

2023

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sJIVE: Supervised joint and individual variation explained

Computational statistics & data analysis, 2022-11, Vol.175, p.107547, Article 107547

2022

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mvlearnR and Shiny App for multiview learning

Bioinformatics advances, 2024, Vol.4 (1), p.vbae005-vbae005

2024

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

Journal of the American Heart Association, 2023-07, Vol.12 (13), p.e027273-e027273

2023

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Maternal HIV and child anthropometric outcomes over time: an analysis of Zimbabwe demographic health surveys

AIDS (London), 2021-03, Vol.35 (3), p.477-484

2021

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Investigation of Causal Effects of Protein Biomarkers on Cardiovascular Disease in Persons With HIV

The Journal of infectious diseases, 2023-04, Vol.227 (8), p.951-960

2023

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Developing A Baseline Metabolomic Signature Associated with COVID-19 Severity: Insights from Prospective Trials Encompassing 13 U.S. Centers

Metabolites, 2023-10, Vol.13 (11), p.1107

2023

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Inpatient Glucose Values: Determining the Nondiabetic Range and Use in Identifying Patients at High Risk for Diabetes

The American journal of medicine, 2018-04, Vol.131 (4), p.443.e11-443.e24

2018

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Bioinformatics Tools for the Interpretation of Metabolomics Data

Current pharmacology reports, 2017-12, Vol.3 (6), p.374-383

2017

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

Sparse sliced inverse regression for high dimensional data analysis

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

Interpretable deep learning methods for multiview learning

Bayesian integrative analysis and prediction with application to atherosclerosis cardiovascular disease

Integrative Analysis of Transcriptomic and Metabolomic Data via Sparse Canonical Correlation Analysis with Incorporation of Biological Information

Sparse linear discriminant analysis for multiview structured data

Sparse reduced-rank regression for integrating omics data

Penalized co-inertia analysis with applications to -omics data

Incorporating biological information in sparse principal component analysis with application to genomic data

Sparse Generalized Eigenvalue Problem with Application to Canonical Correlation Analysis for Integrative Analysis of Methylation and Gene Expression Data

General sparse multi-class linear discriminant analysis

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

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

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

Robust integrative biclustering for multi-view data

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

sJIVE: Supervised joint and individual variation explained

mvlearnR and Shiny App for multiview learning

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

Maternal HIV and child anthropometric outcomes over time: an analysis of Zimbabwe demographic health surveys

Investigation of Causal Effects of Protein Biomarkers on Cardiovascular Disease in Persons With HIV

Developing A Baseline Metabolomic Signature Associated with COVID-19 Severity: Insights from Prospective Trials Encompassing 13 U.S. Centers

Inpatient Glucose Values: Determining the Nondiabetic Range and Use in Identifying Patients at High Risk for Diabetes

Bioinformatics Tools for the Interpretation of Metabolomics Data

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