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ORCIDTae-Hyuk Ahn
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2020 – today
- 2023
[j11]Kwok Sun Cheng, Pei-Chi Huang
, Tae-Hyuk Ahn, Myoungkyu Song:
Tool Support for Improving Software Quality in Machine Learning Programs. Inf. 14(1): 53 (2023)- 2022
- [c12]Piyush Basia, Tae-Hyuk Ahn, Myoungkyu Song:
An IDE Support for Validating Machine Learning Applications in Bioengineering Text Corpora. BIBM 2022: 3594-3595 - [c11]Kwok Sun Cheng, Tae-Hyuk Ahn, Myoungkyu Song:
Debugging Support for Machine Learning Applications in Bioengineering Text Corpora. COMPSAC 2022: 1062-1069 - 2021
- [j10]Scott Lewis, Andrea Nash, Qinghong Li, Tae-Hyuk Ahn:
Comparison of 16S and whole genome dog microbiomes using machine learning. BioData Min. 14(1) (2021) - [j9]Eliza Dhungel, Yassin Mreyoud, Ho-Jin Gwak, Ahmad Rajeh, Mina Rho, Tae-Hyuk Ahn:
MegaR: an interactive R package for rapid sample classification and phenotype prediction using metagenome profiles and machine learning. BMC Bioinform. 22(1): 25 (2021) - 2020
- [c10]Tim Kosfeld, Jonathan McMillan, Richard J. DiPaolo, Jie Hou, Tae-Hyuk Ahn:
Performance Evaluation of Viral Infection Diagnosis using T-Cell Receptor Sequence and Artificial Intelligence. BCB 2020: 35:1-35:10 - [c9]Yassin Mreyoud, Tae-Hyuk Ahn:
Deep Neural Network Modeling for Phenotypic Prediction of Metagenomic Samples. BCB 2020: 77:1 - [p1]WenJia Feng, Zekun Yu, Mingon Kang, Haijun Gong, Tae-Hyuk Ahn:
Practical Evaluation of Different Omics Data Integration Methods. Precision Health and Medicine 2020: 193-197
2010 – 2019
- 2019
- [j8]Jonathan McMillan, Zhaolian Lu, Judith S. Rodríguez, Tae-Hyuk Ahn, Zhenguo Lin:
YeasTSS: an integrative web database of yeast transcription start sites. Database J. Biol. Databases Curation 2019: baz048 (2019) - [j7]Vamshi Krishna Epuri, Sushma Sakala, Tae-Hyuk Ahn, Myoungkyu Song:
Tool support for managing repetitive program changes in evolving software. IET Softw. 13(5): 447-455 (2019) - 2018
- [j6]Matthew J. McCoy, Alexander J. Paul, Matheus B. Victor, Michelle Richner, Harrison W. Gabel, Haijun Gong, Andrew S. Yoo, Tae-Hyuk Ahn:
LONGO: an R package for interactive gene length dependent analysis for neuronal identity. Bioinform. 34(13): i422-i428 (2018) - [c8]Alexander J. Paul, Dylan Lawrence, Myoungkyu Song, Seung-Hwan Lim, Chongle Pan, Tae-Hyuk Ahn:
SORA: Scalable Overlap-graph Reduction Algorithms for Genome Assembly using Apache Spark in the Cloud. BIBM 2018: 718-723 - 2017
- [c7]Alexander J. Paul, Dylan Lawrence, Tae-Hyuk Ahn:
Overlap Graph Reduction for Genome Assembly using Apache Spark. BCB 2017: 613 - 2015
- [j5]Tae-Hyuk Ahn, Juanjuan Chai, Chongle Pan:
Sigma: Strain-level inference of genomes from metagenomic analysis for biosurveillance. Bioinform. 31(2): 170-177 (2015) - [j4]Tae-Hyuk Ahn, Adrian Sandu, Layne T. Watson, Clifford A. Shaffer, Yang Cao, William T. Baumann:
A Framework to Analyze the Performance of Load Balancing Schemes for Ensembles of Stochastic Simulations. Int. J. Parallel Program. 43(4): 597-630 (2015) - 2014
- [j3]Bahlul Haider, Tae-Hyuk Ahn, Brian Bushnell, Juanjuan Chai, Alex Copeland, Chongle Pan:
Omega: an Overlap-graph de novo Assembler for Metagenomics. Bioinform. 30(19): 2717-2722 (2014) - 2013
- [j2]Damian Dechev, Tae-Hyuk Ahn:
Using SST/Macro for Effective Analysis of MPI-Based Applications: Evaluating Large-Scale Genomic Sequence Search. IEEE Access 1: 428-435 (2013) - [j1]Yingfeng Wang, Tae-Hyuk Ahn, Zhou Li, Chongle Pan:
Sipros/ProRata: a versatile informatics system for quantitative community proteomics. Bioinform. 29(16): 2064-2065 (2013) - [i1]Tae-Hyuk Ahn, Adrian Sandu, Xiaoying Han:
Implicit Simulation Methods for Stochastic Chemical Kinetics. CoRR abs/1303.3614 (2013) - 2011
- [c6]Tae-Hyuk Ahn, Damian Dechev, Heshan Lin, Helgi Adalsteinsson, Curtis L. Janssen:
Evaluating Performance Optimizations of Large-scale Genomic Sequence Search Applications using SST/macro. SIMULTECH 2011: 65-73 - [c5]Tae-Hyuk Ahn, Adrian Sandu:
Fully implicit tau-leaping methods for the stochastic simulation of chemical kinetics. SpringSim (HPC) 2011: 118-125 - [c4]Tae-Hyuk Ahn, Adrian Sandu:
Implicit Second Order Weak Taylor Tau-Leaping Methods for the Stochastic Simulation of Chemical Kinetics. ICCS 2011: 2297-2306 - 2010
- [c3]Tae-Hyuk Ahn, Adrian Sandu:
Parallel stochastic simulations of budding yeast cell cycle: load balancing strategies and theoretical analysis. BCB 2010: 237-246
2000 – 2009
- 2009
- [c2]Tae-Hyuk Ahn, Pengyuan Wang, Layne T. Watson, Yang Cao, Clifford A. Shaffer, William T. Baumann:
Stochastic cell cycle modeling for budding yeast. SpringSim 2009 - 2008
- [c1]Tae-Hyuk Ahn, Yang Cao, Layne T. Watson:
Stochastic Simulation Algorithms for Chemical Reactions. BIOCOMP 2008: 431-436
Coauthor Index
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