Author

E. A. Hernandez-Vargas

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 2 Bioengineering· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Organism:bacteria (other)· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

C. Parra-Rojas· 3 shared A. E. S. Almocera· 1 shared A. Thanwisai· 1 shared A. Vitta· 1 shared D. Bruder· 1 shared G. Hernandez-Mejia· 1 shared H. B. Bode· 1 shared K. Sasaki· 1 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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3 shared papersMicrobiology

C. Parra-Rojas

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Switching Logistic Maps to Design Cycling Approaches Against Antimicrobial Resistance

E. A. Hernandez-Vargas, C. Parra-Rojas, S. Olaru

This paper uses a logistic switching model to design cycling therapies against antimicrobial resistance by stabilizing unstable equilibria through tailored switching regimens.

bioRxiv · Mar 17, 2020 · PreprintBioengineering

Topological data analysis to uncover the shape of immune responses during co-infection

K. Sasaki, D. Bruder, E. A. Hernandez-Vargas

The paper uses topological data analysis to study immune response dynamics during influenza-pneumococcal co-infection in mice, revealing three phases and two transition points in the immune response.

bioRxiv · Aug 5, 2019Immunology

Focused natural product elucidation by prioritizing high-throughput metabolomic studies with machine learning

N. Tobias, C. Parra-Rojas, Y.-N. Shi, Y.-M. Shi, S. Simonyi, A. Thanwisai, A. Vitta, N. Chantratita, E. A. Hernandez-Vargas, H. B. Bode

The paper uses machine learning to prioritize metabolites in high-throughput metabolomic studies of Photorhabdus and Xenorhabdus bacteria, identifying previously unknown compounds.

bioRxiv · Jan 31, 2019 · PreprintMicrobiology

The trichotomy of pneumococcal infection outcomes

A. E. S. Almocera, G. Hernandez-Mejia, C. Parra-Rojas, E. A. Hernandez-Vargas

This study models the innate immune response to pneumococcal infection and identifies three distinct outcomes based on bifurcation parameters.

bioRxiv · Sep 17, 2018Microbiology