Lista de obras -

A Comprehensive Investigation of Active Learning Strategies for Conducting Anti-Cancer Drug Screening

scholarly article

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

scientific article published on 02 October 2019

Antimicrobial Resistance Prediction in PATRIC and RAST.

artículo científico publicado en 2016

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

artículo científico publicado en 2018

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

artículo científico publicado en 2012

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

scholarly article by Justin M Wozniak et al published 21 December 2018 in BMC Bioinformatics

Connecting genotype to phenotype in the era of high-throughput sequencing.

artículo científico publicado en 2011

Deep medical image analysis with representation learning and neuromorphic computing

artículo científico publicado en 2020

Detecting operons in bacterial genomes via visual representation learning

artículo científico publicado en 2021

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

artículo científico publicado en 2018

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

scientific article published on 11 September 2020

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

artículo científico publicado en 2020

Identifying genomic islands with deep neural networks

artículo científico publicado en 2021

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

artículo científico publicado en 2016

KBase: The United States Department of Energy Systems Biology Knowledgebase

article

Modeling central metabolism and energy biosynthesis across microbial life

artículo científico publicado en 2016

PATRIC as a unique resource for studying antimicrobial resistance.

artículo científico publicado en 2017

Pandemic drugs at pandemic speed: infrastructure for accelerating COVID-19 drug discovery with hybrid machine learning- and physics-based simulations on high-performance computers

artículo científico publicado en 2021

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

artículo científico publicado en 2019

Predicting tumor cell line response to drug pairs with deep learning

artículo científico publicado en 2018

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

artículo científico publicado en 2015

SEED servers: high-performance access to the SEED genomes, annotations, and metabolic models

artículo científico publicado en 2012

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

artículo científico publicado en 2006

The PATRIC Bioinformatics Resource Center: expanding data and analysis capabilities

artículo científico publicado en 2020

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

artículo científico publicado en 2013

Lista de obras de

A Comprehensive Investigation of Active Learning Strategies for Conducting Anti-Cancer Drug Screening

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

Antimicrobial Resistance Prediction in PATRIC and RAST.

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

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

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

Connecting genotype to phenotype in the era of high-throughput sequencing.

Deep medical image analysis with representation learning and neuromorphic computing

Detecting operons in bacterial genomes via visual representation learning

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

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

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

Identifying genomic islands with deep neural networks

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

KBase: The United States Department of Energy Systems Biology Knowledgebase

Modeling central metabolism and energy biosynthesis across microbial life

PATRIC as a unique resource for studying antimicrobial resistance.

Pandemic drugs at pandemic speed: infrastructure for accelerating COVID-19 drug discovery with hybrid machine learning- and physics-based simulations on high-performance computers

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

Predicting tumor cell line response to drug pairs with deep learning

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

SEED servers: high-performance access to the SEED genomes, annotations, and metabolic models

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

The PATRIC Bioinformatics Resource Center: expanding data and analysis capabilities

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