Author

Celeste C. Linde

Australian National UniversityORCID 0000-0002-8207-1202Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Organism:fungi (other)· 1 Assay:long-read sequencing· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1

Frequent Co-Authors

Andrew MilgateiD· 1 shared Benjamin S. MashfordiD· 1 shared Benjamin SchwessingeriD· 1 shared Eric A. StoneiD· 1 shared John Paul RathjeniD· 1 shared László IrinyiiD· 1 shared Leon M. A. Smith· 1 shared Minh Thuy Vi Hoang· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Andrew MilgateORCID

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1 paper

Recent·Most cited

Linked machine learning classifiers improve species classification of fungi when using error-prone long-reads on extended metabarcodes

Tavish Eenjes, Yiheng Hu, László Irinyi, Minh Thuy Vi Hoang, Leon M. A. Smith, Celeste C. Linde, Andrew Milgate, Wieland Meyer, Eric A. Stone, John Paul Rathjen, Benjamin S. Mashford, Benjamin Schwessinger

This paper demonstrates that linked machine learning classifiers improve species classification of fungi using error-prone long-reads on extended metabarcodes, achieving high recall and low false positives.

bioRxiv · May 1, 2021 · PreprintBioinformatics