Author

J. Wiens

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

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:human· 2 Assay:metagenomics· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

B. D. Topcuoglu· 2 shared P. D. Schloss· 2 shared C. R. Armour· 1 shared K. L. Sovacool· 1 shared M. T. Ruffin· 1 shared N. A. Lesniak· 1 shared W. L. Close· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 15 mutual co-author links

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2 shared papersMicrobiology

B. D. Topcuoglu

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2 papers

Recent·Most cited

Machine learning classification by fitting amplicon sequences to existing OTUs

C. R. Armour, K. L. Sovacool, W. L. Close, B. D. Topcuoglu, J. Wiens, P. D. Schloss

The paper evaluates OptiFit, a method to fit new sequences to existing OTUs, finding it performs as well or better than de novo and database-reference-based clustering in classifying colonic screen relevant neoplasia.

bioRxiv · Sep 1, 2022Microbiology

A framework for effective application of machine learning to microbiome-based classification problems

B. D. Topcuoglu, N. A. Lesniak, M. T. Ruffin, J. Wiens, P. D. Schloss

This paper evaluates ML models for predicting colonic neoplasias using 16S rRNA data, finding that L2-regularized logistic regression offers a balance of performance, speed, and interpretability.

mBio · Jun 30, 2020Peer-reviewedMicrobiology