Author

Hyunseung Yoo

Argonne National LaboratoryORCID 0000-0002-1072-4278Unclaimed 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

Organism:bacteria (other)· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Research Focus:genome assembly· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Fangfang XiaiD· 2 shared James J. DavisiD· 2 shared Maulik P. ShuklaiD· 2 shared Rick L. StevensiD· 2 shared Robert OlsoniD· 2 shared Thomas Scott BrettiniD· 2 shared Aaron A. BestiD· 1 shared Adam P. ArkiniD· 1 shared

Activity by Year

2018-2018 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 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

Fangfang XiaORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsNature BiotechnologyPeer-reviewedJul 1, 2018

✦ In-depth digest

The DOE Systems Biology Knowledgebase (KBase)

Adam P. Arkin, Robert W. Cottingham, Christopher S. Henry…·Dantong Yu

Open-source KBase platform unites reference genomes and biochemistry, over 70 apps, Jupyter-based Narratives with provenance, and a Docker SDK for reproducible plant and microbial systems biology.

1,624 citationstop 1%

multiple speciesbacteria (other)

BioinformaticsScientific ReportsPeer-reviewedJan 5, 2018

Developing an in silico minimum inhibitory concentration panel test for Klebsiella pneumoniae

Marcus Nguyen, Thomas Scott Brettin, Scott Wesley Long…·James J. Davis

This study develops an XGBoost-based machine learning model to predict minimum inhibitory concentrations for 20 antibiotics in Klebsiella pneumoniae using whole genome sequencing data, achieving 92% overall accuracy.

192 citationstop 1%

bacteria (other)whole-genome sequencing