Author

Alexander Taylor

Australian National UniversityPrimary ORCID profile (0009-0003-0364-7184 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Alexander TayloriD2 papers · University of Wisconsin–Madison

Biology Disciplines

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Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Organism:Drosophila· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Achim Dieter GruberiD· 1 shared Birgitt Gutbier· 1 shared Capsys Study Group· 1 shared Cengiz GoekeriiD· 1 shared Elena López-RodrígueziD· 1 shared Geraldine NouaillesiD· 1 shared Holger KirsteniD· 1 shared Karen HoffmanniD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperImmunology

Achim Dieter GruberORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Neutrophil-chemoattractant CXCL5 induces lung barrier permeability in acute lung injury

Sarah Berger, Cengiz Goekeri, Peter Pennitz, Birgitt Gutbier, Laura Michalick, Karen Hoffmann, Elena López-Rodríguez, Vladimir Gluhovic, Sandra-Maria Wienhold, Ulrike Behrendt, Alexander Taylor, Kristina Dietert, Holger Kirsten, Sandra Kunder, Kristina Mueller, , Geraldine Nouailles

This study identifies CXCL5 as a factor that increases alveolar-epithelial barrier permeability in acute lung injury, independent of neutrophil recruitment.

Mucosal Immunology · Oct 11, 2025Peer-reviewedImmunology

Machine Learning to Predict Gut Microbiomes of Agricultural Pests

Md Jobayer, Alexander Taylor, Md Rakibul Hasan, Khandaker Asif Ahmed, Md Zakir Hossain

This paper develops three machine learning models to predict gut microbiome composition in fruit flies using metagenomic data, with the best model achieving a mean Coefficient of Variance of 1.25.

Neural Computing and Applications · Feb 21, 2025Peer-reviewedBioinformatics