H. Yoo

发表

Improvements to PATRIC, the all-bacterial Bioinformatics Database and Analysis Resource Center

Rida Assaf, Fangfang Xia, Robert Olson, 2016, Nucleic Acids Res..

KBase: The United States Department of Energy Systems Biology Knowledgebase

Rick L. Stevens, James J. Davis, Kevin P. Keegan, 2018, Nature Biotechnology.

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

James J. Davis, R. Stevens, R. Olson, 2017, bioRxiv.

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

James J. Davis, R. Stevens, R. Olson, 2017, Scientific Reports.

PATtyFams: Protein Families for the Microbial Genomes in the PATRIC Database

Maulik Shukla, James J. Davis, Gordon D. Pusch, 2016, Front. Microbiol..

Analysis of Ten Brucella Genomes Reveals Evidence for Horizontal Gene Transfer Despite a Preferred Intracellular Lifestyle

Maulik Shukla, Alice R. Wattam, Kelly P. Williams, 2009, Journal of bacteriology.

The PATRIC Bioinformatics Resource Center: expanding data and analysis capabilities

Rick L. Stevens, James J. Davis, Joseph L. Gabbard, 2019, Nucleic Acids Res..

A genomic data resource for predicting antimicrobial resistance from laboratory-derived antimicrobial susceptibility phenotypes

James J. Davis, Emily M. Dietrich, G. Pusch, 2021, Briefings Bioinform..

Curation, integration and visualization of bacterial virulence factors in PATRIC

Maulik Shukla, Alice R. Wattam, David Abraham, 2014, Bioinform..

A cross-study analysis of drug response prediction in cancer cell lines

Rick L. Stevens, Yvonne A. Evrard, Austin R. Clyde, 2021, Briefings Bioinform..

PATRIC, the bacterial bioinformatics database and analysis resource

Yan Zhang, Deborah Hix, Robert Olson, 2013, Nucleic Acids Res..

Converting tabular data into images for deep learning with convolutional neural networks

Rick L. Stevens, Yvonne A. Evrard, R. Stevens, 2021, Scientific Reports.

Learning curves for drug response prediction in cancer cell lines pdf

Thomas S. Brettin, Maulik Shukla, Rick L. Stevens, 2020, BMC Bioinformatics.

Enhanced Co-Expression Extrapolation (COXEN) Gene Selection Method for Building Anti-Cancer Drug Response Prediction Models

Fangfang Xia, Rick L Stevens, Maulik Shukla, 2020, Genes.

Ensemble transfer learning for the prediction of anti-cancer drug response

Maulik Shukla, Rick L. Stevens, Yitan Zhu, 2020, Scientific Reports.

PATRIC as a unique resource for studying antimicrobial resistance

Rida Assaf, Fangfang Xia, Rick Stevens, 2017, Briefings Bioinform..

Assembly, Annotation, and Comparative Genomics in PATRIC, the All Bacterial Bioinformatics Resource Center.

Fangfang Xia, Rick Stevens, Robert Olson, 2018, Methods in molecular biology.

The DOE Systems Biology Knowledgebase (KBase)

Fangfang Xia, Rick Stevens, Mark Gerstein, 2016, bioRxiv.

Genomic Analysis of Metastatic Solid Tumors in Veterans: Findings From the VHA National Precision Oncology Program.

T. Brettin, M. Kelley, M. Shukla, 2019, JCO precision oncology.

Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD and ViPR

James J. Davis, Emily M. Dietrich, G. Pusch, 2022, Nucleic Acids Res..

PATRIC: The VBI PathoSystems Resource Integration Center

Deborah Hix, F. Zhang, Tian Xue, 2006, Nucleic Acids Res..

RNA-Rocket: an RNA-Seq analysis resource for infectious disease research

Deborah Hix, Maulik Shukla, Cristina Aurrecoechea, 2014, bioRxiv.

A Systematic Approach to Featurization for Cancer Drug Sensitivity Predictions with Deep Learning pdf

Fangfang Xia, Rick L. Stevens, Yitan Zhu, 2020, ArXiv.

Protein-Ligand Docking Surrogate Models: A SARS-CoV-2 Benchmark for Deep Learning Accelerated Virtual Screening pdf

Rick Stevens, Shantenu Jha, Matteo Turilli, 2021, ArXiv.

High-bypass Learning: Automated Detection of Tumor Cells That Significantly Impact Drug Response

Nicholson T. Collier, Rick L. Stevens, J. Mohd-Yusof, 2020, 2020 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC) and Workshop on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S).

The DOE Systems Biology Knowledgebase (KBase)

Robert W. Cottingham, Rick L. Stevens, James J. Davis, 2016, bioRxiv.