Tae-Hyuk Ahn

According to our database, Tae-Hyuk Ahn authored at least 25 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Tool Support for Improving Software Quality in Machine Learning Programs.

Kwok Sun Cheng, Pei-Chi Huang, Tae-Hyuk Ahn, Myoungkyu Song

Inf., January, 2023

2022

Debugging Support for Machine Learning Applications in Bioengineering Text Corpora.

Kwok Sun Cheng, Tae-Hyuk Ahn, Myoungkyu Song

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

An IDE Support for Validating Machine Learning Applications in Bioengineering Text Corpora.

Piyush Basia, Tae-Hyuk Ahn, Myoungkyu Song

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

MegaR: an interactive R package for rapid sample classification and phenotype prediction using metagenome profiles and machine learning.

Eliza Dhungel, Yassin Mreyoud, Ho-Jin Gwak, Ahmad Rajeh, Mina Rho, Tae-Hyuk Ahn

BMC Bioinform., 2021

Comparison of 16S and whole genome dog microbiomes using machine learning.

Scott Lewis, Andrea Nash, Qinghong Li, Tae-Hyuk Ahn

BioData Min., 2021

2020

Practical Evaluation of Different Omics Data Integration Methods.

WenJia Feng, Zekun Yu, Mingon Kang, Haijun Gong, Tae-Hyuk Ahn

Proceedings of the Precision Health and Medicine - A Digital Revolution in Healthcare, 2020

Deep Neural Network Modeling for Phenotypic Prediction of Metagenomic Samples.

Yassin Mreyoud, Tae-Hyuk Ahn

Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

Performance Evaluation of Viral Infection Diagnosis using T-Cell Receptor Sequence and Artificial Intelligence.

Tim Kosfeld, Jonathan McMillan, Richard J. DiPaolo, Jie Hou, Tae-Hyuk Ahn

Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

2019

Tool support for managing repetitive program changes in evolving software.

Vamshi Krishna Epuri, Sushma Sakala, Tae-Hyuk Ahn, Myoungkyu Song

IET Softw., 2019

YeasTSS: an integrative web database of yeast transcription start sites.

Jonathan McMillan, Zhaolian Lu, Judith S. Rodríguez, Tae-Hyuk Ahn, Zhenguo Lin

Database J. Biol. Databases Curation, 2019

2018

LONGO: an R package for interactive gene length dependent analysis for neuronal identity.

Matthew J. McCoy, Alexander J. Paul, Matheus B. Victor, Michelle Richner, Harrison W. Gabel, Haijun Gong, Andrew S. Yoo, Tae-Hyuk Ahn

Bioinform., 2018

SORA: Scalable Overlap-graph Reduction Algorithms for Genome Assembly using Apache Spark in the Cloud.

Alexander J. Paul, Dylan Lawrence, Myoungkyu Song, Seung-Hwan Lim, Chongle Pan, Tae-Hyuk Ahn

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Overlap Graph Reduction for Genome Assembly using Apache Spark.

Alexander J. Paul, Dylan Lawrence, Tae-Hyuk Ahn

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2015

A Framework to Analyze the Performance of Load Balancing Schemes for Ensembles of Stochastic Simulations.

Tae-Hyuk Ahn, Adrian Sandu, Layne T. Watson, Clifford A. Shaffer, Yang Cao, William T. Baumann

Int. J. Parallel Program., 2015

Sigma: Strain-level inference of genomes from metagenomic analysis for biosurveillance.

Tae-Hyuk Ahn, Juanjuan Chai, Chongle Pan

Bioinform., 2015

2014

Omega: an Overlap-graph <i>de novo</i> Assembler for Metagenomics.

Bahlul Haider, Tae-Hyuk Ahn, Brian Bushnell, Juanjuan Chai, Alex Copeland, Chongle Pan

Bioinform., 2014

2013

Implicit Simulation Methods for Stochastic Chemical Kinetics

Tae-Hyuk Ahn, Adrian Sandu, Xiaoying Han

CoRR, 2013

Sipros/ProRata: a versatile informatics system for quantitative community proteomics.

Yingfeng Wang, Tae-Hyuk Ahn, Zhou Li, Chongle Pan

Bioinform., 2013

Using SST/Macro for Effective Analysis of MPI-Based Applications: Evaluating Large-Scale Genomic Sequence Search.

Damian Dechev, Tae-Hyuk Ahn

IEEE Access, 2013

2011

Implicit Second Order Weak Taylor Tau-Leaping Methods for the Stochastic Simulation of Chemical Kinetics.

Tae-Hyuk Ahn, Adrian Sandu

Proceedings of the International Conference on Computational Science, 2011

Fully implicit tau-leaping methods for the stochastic simulation of chemical kinetics.

Tae-Hyuk Ahn, Adrian Sandu

Proceedings of the 2011 Spring Simulation Multi-conference, 2011

Evaluating Performance Optimizations of Large-scale Genomic Sequence Search Applications using SST/macro.

Tae-Hyuk Ahn, Damian Dechev, Heshan Lin, Helgi Adalsteinsson, Curtis L. Janssen

Proceedings of the SIMULTECH 2011 - Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Noordwijkerhout, The Netherlands, 29, 2011

2010

Parallel stochastic simulations of budding yeast cell cycle: load balancing strategies and theoretical analysis.

Tae-Hyuk Ahn, Adrian Sandu

Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

2009

Stochastic cell cycle modeling for budding yeast.

Tae-Hyuk Ahn, Pengyuan Wang, Layne T. Watson, Yang Cao, Clifford A. Shaffer, William T. Baumann

Proceedings of the 2009 Spring Simulation Multiconference, SpringSim 2009, 2009

2008

Stochastic Simulation Algorithms for Chemical Reactions.

Tae-Hyuk Ahn, Yang Cao, Layne T. Watson

Proceedings of the International Conference on Bioinformatics & Computational Biology, 2008