Fangfang Xia

发表

Machine Learning for Antimicrobial Resistance

Fangfang Xia, Rick L. Stevens, John W. Santerre, 2016, 1607.01224.

Predicting tumor cell line response to drug pairs with deep learning

Fangfang Xia, Thomas S. Brettin, Sergei Maslov, 2018, BMC Bioinformatics.

CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research

Fangfang Xia, Prasanna Balaprakash, Justin M. Wozniak, 2018, BMC Bioinformatics.

RASTtk: A modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes

Fangfang Xia, Rick Stevens, Robert Olson, 2015, Scientific Reports.

Genome-scale bacterial transcriptional regulatory networks: reconstruction and integrated analysis with metabolic models

Fangfang Xia, Miguel Rocha, Isabel Rocha, 2014, Briefings Bioinform..

AI Meets Exascale Computing: Advancing Cancer Research With Large-Scale High Performance Computing

Fangfang Xia, Rick Stevens, Eric Stahlberg, 2019, Front. Oncol..

PATRIC as a unique resource for studying antimicrobial resistance

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

The National Microbial Pathogen Database Resource (NMPDR): a genomics platform based on subsystem annotation

Fangfang Xia, Daniela Bartels, Tobias Paczian, 2006, Nucleic Acids Res..

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

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

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

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

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

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

Performance, Energy, and Scalability Analysis and Improvement of Parallel Cancer Deep Learning CANDLE Benchmarks

Fangfang Xia, Justin M. Wozniak, Thomas S. Brettin, 2019, ICPP.

Recurrent and Spiking Modeling of Sparse Surgical Kinematics

Fangfang Xia, Neil Getty, Zixuan Zhou, 2020, ICONS.

Deep medical image analysis with representation learning and neuromorphic computing

Fangfang Xia, Rick Stevens, Neil Getty, 2020, Interface Focus.

Scalable reinforcement-learning-based neural architecture search for cancer deep learning research

Fangfang Xia, Prasanna Balaprakash, Venkatram Vishwanath, 2019, SC.

The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST)

Fangfang Xia, Robert Olson, James J. Davis, 2013, Nucleic Acids Res..

Inferring a Species Tree from Gene Trees in the Presence of HGT

Fangfang Xia, Rick L. Stevens, 2009, BIOCOMP.

Systems-Wide Prediction of Enzyme Promiscuity Reveals a New Underground Alternative Route for Pyridoxal 5’-Phosphate Production in E. coli

Fangfang Xia, Eytan Ruppin, Daniel J. Dwyer, 2016, PLoS Comput. Biol..

Towards On-Chip Bayesian Neuromorphic Learning pdf

Fangfang Xia, Prasanna Balaprakash, Nathan Wycoff, 2020, ArXiv.

Human Analysts at Superhuman Scales: What Has Friendly Software To Do?

Fangfang Xia, François Laviolette, Steve Behling, 2013, Big Data.

The DOE Systems Biology Knowledgebase (KBase)

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

Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout

Fangfang Xia, Prasanna Balaprakash, Nathan Wycoff, 2019, ICONS.

Neko: a Library for Exploring Neuromorphic Learning Rules

Fangfang Xia, Rick Stevens, Nathan Wycoff, 2021, ICONS.

Pandemic Drugs at Pandemic Speed: Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers pdf

Fangfang Xia, Sauro Succi, Shantenu Jha, 2021, ArXiv.

Antimicrobial Resistance Prediction in PATRIC and RAST

Fangfang Xia, Rick Stevens, John Santerre, 2016, Scientific Reports.

In search of genome annotation consistency: solid gene clusters and how to use them

Fangfang Xia, James J. Davis, Veronika Vonstein, 2013, 3 Biotech.

Performance, Power, and Scalability Analysis of the Horovod Implementation of the CANDLE NT3 Benchmark on the Cray XC40 Theta

Fangfang Xia, Justin M. Wozniak, Xingfu Wu, 2018 .

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.

Application of high-performance computing to the reconstruction, analysis, and optimization of genome-scale metabolic models

Fangfang Xia, Rick Stevens, Christopher S. Henry, 2009 .

Population Genomic Analysis of 1,777 Extended-Spectrum Beta-Lactamase-Producing Klebsiella pneumoniae Isolates, Houston, Texas: Unexpected Abundance of Clonal Group 307

Fangfang Xia, James J. Davis, Thomas Brettin, 2017, mBio.

SEED Servers: High-Performance Access to the SEED Genomes, Annotations, and Metabolic Models

Fangfang Xia, Rick L. Stevens, Robert A. Edwards, 2012, PloS one.

Modeling central metabolism and energy biosynthesis across microbial life

Fangfang Xia, Rick L. Stevens, Christopher S. Henry, 2016, BMC Genomics.

Building the repertoire of dispensable chromosome regions in Bacillus subtilis entails major refinement of cognate large-scale metabolic model

Fangfang Xia, Rick L. Stevens, Christopher S. Henry, 2012, Nucleic acids research.