Author
Edgar Javier Hernandez
University of UtahORCID 0000-0003-1455-8251Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2021-2026 · peak 3/yrCo-Author Collaboration Network
10 top collaborators · 23 mutual co-author linksMutual co-authors in cluster
9 papers
Recent·Most cited
- GenomicsbioRxivPreprint
Extracellular matrix and cytoskeletal reverse remodeling pathways are key drivers of myocardial recovery following left ventricular assist device therapy
Thirupura Sundari Shankar, Marco Marchetti, Harini Srinivasan…·Omar Wever‐Pinzon
This study identifies DNA methylation and gene expression changes in heart failure patients before and after LVAD therapy, linking extracellular matrix and cytoskeletal remodeling to myocardial recovery.
- MicrobiologybioRxivPreprint
Global Footprint of the Multidrug Resistance Island Ec17R and Resistance Gene Co-Occurrence in Pathogenic Escherichia coli Isolates
Elijah R. Bring Horvath, O’Connor J. Matthews, William J. Brazelton…·Matthew A. Mulvey
The paper tracks a multidrug-resistant E. coli lineage over years, identifies a globally distributed resistance island, and finds resistance gene co-occurrence networks and antibiotic tolerance in isolates lacking known resistance mechanisms.
DOI 10.1101/2025.10.10.681733 - Genetic & Genomic MedicineNature CommunicationsPeer-reviewed
Genome Sequencing is Critical for Forecasting Outcomes Following Congenital Cardiac Surgery
W. Scott Watkins, Edgar Javier Hernandez, Thomas A. Miller…·Martin Tristani‐Firouzi
This study uses AI to show that genome sequencing can predict adverse outcomes after congenital heart defect surgery by identifying damaging genotypes in specific genes.
7 citationstop 4% - Genetic & Genomic MedicinemedRxivPreprint
MPSE provides fast, flexible, and efficient means to identify newborns who will benefit from whole genome sequencing within the first 48 hours of NICU admission
Bennet D. Peterson, Edwin F. Juarez, Barry Moore…·Mark D. Yandell
The paper evaluates MPSE's performance in prioritizing NICU newborns for WGS within 48 hours using various ML classifiers, CNLP tools, and data types, finding high accuracy and flexibility.
DOI 10.1101/2024.11.05.24316150 - BioinformaticsbioRxivPreprint
Resistance Gene Association and Inference Network (ReGAIN): A Bioinformatics Pipeline for Assessing Probabilistic Co-Occurrence Between Resistance Genes in Bacterial Pathogens
Elijah R. Bring Horvath, Mathew G. Stein, Matthew A. Mulvey…·Jaclyn M. Winter
ReGAIN identifies and maps resistance gene networks in bacterial pathogens using Bayesian networks, providing insights into co-occurrence patterns and antimicrobial resistance dynamics.
- Genetic & Genomic MedicineGenome MedicinePeer-reviewed
The impact of damaging epilepsy and cardiac genetic variant burden in sudden death in the young
Megan J. Puckelwartz, Lorenzo L. Pesce, Edgar Javier Hernandez…·Elizabeth M. McNally
This study identifies genetic variants in epilepsy, cardiomyopathy, and arrhythmia genes in a sudden death in the young cohort, finding enrichment of damaging variants and a correlation with younger age at death.
16 citationstop 4% - Genetic & Genomic MedicineCommunications MedicinePeer-reviewed
Genetic, demographic and clinical variables act synergistically to impact neurodevelopmental outcomes in children with single ventricle heart disease
Thomas A. Miller, Edgar Javier Hernandez, James William Gaynor…·Martin Tristani‐Firouzi
The paper examines how genetic, demographic, and clinical factors interact to influence neurodevelopmental outcomes in children with single ventricle heart disease.
9 citations - Genetic & Genomic MedicineGenome MedicinePeer-reviewed
Artificial intelligence enables comprehensive genome interpretation and nomination of candidate diagnoses for rare genetic diseases
Francisco M. De La Vega, Shimul Chowdhury, Barry Moore…·Stephen Francis Kingsmore
GEM, an AI-based tool, ranks causal genes highly for rare genetic diseases, improving diagnostic efficiency and reducing manual effort.
173 citationstop 1%