Author

Brian D. Williamson

Fred Hutch Cancer CenterORCID 0000-0002-7024-548XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 2 Approach:statistical model· 2 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Assay:protein sequence· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Peter B. GilbertiD· 2 shared Aaron HudsoniD· 1 shared Amy D. WillisiD· 1 shared Courtney SimmonsiD· 1 shared Craig A. MagaretiD· 1 shared David C. BenkeseriD· 1 shared James P. HughesiD· 1 shared Liana WuiD· 1 shared

Activity by Year

2021-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Peter B. GilbertORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Predicting neutralization susceptibility to combination HIV-1 monoclonal broadly neutralizing antibody regimens

Brian D. Williamson, Liana Wu, Yunda Huang, Aaron Hudson, Peter B. Gilbert

The paper compares two approaches for predicting HIV-1 neutralization by combination antibody regimens, finding the combine-then-predict approach superior for binary outcomes and at least as good for continuous outcomes.

PLoS ONE · Sep 6, 2024Peer-reviewedBioinformatics

A multi-view model for relative and absolute microbial abundances

Brian D. Williamson, James P. Hughes, Amy D. Willis

The paper proposes a method to estimate absolute microbial abundances using both relative and absolute abundance data, improving accuracy by accounting for detection efficiencies.

Biometrics · May 28, 2021Peer-reviewedGenomics

Super LeArner Prediction of NAb Panels (SLAPNAP): A Containerized Tool for Predicting Combination Monoclonal Broadly Neutralizing Antibody Sensitivity

Brian D. Williamson, Craig A. Magaret, Peter B. Gilbert, Sohail Nizam, Courtney Simmons, David C. Benkeser

SLAPNAP predicts in vitro neutralization resistance of HIV Envelope pseudoviruses to bnAb regimens using machine learning based on sequence features to aid in selecting effective prevention strategies.

Bioinformatics · May 21, 2021Peer-reviewedBioinformatics