Author

Max Gordon

North Carolina State UniversityORCID 0000-0003-2810-551XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1

Frequent Co-Authors

B Kirtley AmosiD· 2 shared Abhishek GognaiD· 1 shared Alencar XavieriD· 1 shared Andrei SlabodkiniD· 1 shared Annan J. Timon· 1 shared Argeo Ulrich· 1 shared Baber Ali· 1 shared Carles Quesada‐TraveriD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

B Kirtley AmosORCID

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2 papers

Recent·Most cited

BioinformaticsBioData MiningPeer-reviewedFeb 19, 2026

KeySDL: Sparse Dictionary Learning for Keystone Microbe Identification

Max Gordon, Turgut Yigit Akyol, B Kirtley Amos…·Cranos Williams

KeySDL identifies keystone microbes using sparse dictionary learning and GLV dynamics assumptions, enabling accurate predictions from limited data.

DOI 10.1186/s13040-026-00527-3

metagenomicsstatistical model

𝕏 PostBluesky

GeneticsGeneticsPeer-reviewedNov 22, 2024

Global Genotype by Environment Prediction Competition Reveals That Diverse Modeling Strategies Can Deliver Satisfactory Maize Yield Estimates

Jacob D. Washburn, José Ignacio Varela, Alencar Xavier…·Natalia de León

The paper reports on a competition to predict maize yield using genetic and environmental data, showing that diverse modeling approaches can achieve good results.

30 citationstop 2%

GWAS summary statisticsmachine learning (classical)

𝕏 PostBluesky