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2020 – today
- 2025
[j63]Fardeen H. Mozumder, Byung-Jun Yoon:
An Effective Pipeline for Training Variational Autoencoders for Synthesizable and Optimized Molecular Design. IEEE Access 13: 529-540 (2025)- 2024
- [j62]Xihaier Luo, Seyednami Niyakan, Patrick R. Johnstone, Sean McCorkle, Gilchan Park
, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Shantenu Jha, Byung-Jun Yoon:
Pathway-based analyses of gene expression profiles at low doses of ionizing radiation. Frontiers Bioinform. 4 (2024) - [j61]A. N. M. Nafiz Abeer, Nathan M. Urban, M. Ryan Weil, Francis J. Alexander, Byung-Jun Yoon:
Multi-objective latent space optimization of generative molecular design models. Patterns 5(10): 101042 (2024) - [c54]Siyuan Xu, Yucheng Wang, Mingzhou Fan, Byung-Jun Yoon, Xiaoning Qian:
Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting. AISTATS 2024: 4105-4113 - [c53]Sanket R. Jantre, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon:
Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks. ICASSP 2024: 5330-5334 - [c52]Xihaier Luo, Xiaoning Qian, Byung-Jun Yoon:
Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution. ICML 2024 - [c51]Amir Hossein Rahmati, Mingzhou Fan, Ruida Zhou, Nathan M. Urban, Byung-Jun Yoon, Xiaoning Qian:
When Uncertainty-Based Active Learning May Fail? ICPR (1) 2024: 84-100 - [c50]A. N. M. Nafiz Abeer, Sanket R. Jantre, Nathan M. Urban, Byung-Jun Yoon:
Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design. MLSP 2024: 1-6 - [c49]Alif Bin Abdul Qayyum, Xihaier Luo, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon:
Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate Data. MLSP 2024: 1-6 - [i24]Alif Bin Abdul Qayyum, Xihaier Luo, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon:
Multi-modal Representation Learning for Cross-modal Prediction of Continuous Weather Patterns from Discrete Low-Dimensional Data. CoRR abs/2401.16936 (2024) - [i23]Pei-Hung Chung, Shuhan He, Norawit Kijpaisalratana, Abdel-badih el Ariss, Byung-Jun Yoon:
Neural machine translation of clinical procedure codes for medical diagnosis and uncertainty quantification. CoRR abs/2402.10940 (2024) - [i22]A. N. M. Nafiz Abeer, Sanket R. Jantre, Nathan M. Urban, Byung-Jun Yoon:
Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design. CoRR abs/2405.00202 (2024) - [i21]Xihaier Luo, Xiaoning Qian, Byung-Jun Yoon:
Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution. CoRR abs/2405.12202 (2024) - [i20]A. N. M. Nafiz Abeer, Sanket R. Jantre, Nathan M. Urban, Byung-Jun Yoon:
Enhancing Generative Molecular Design via Uncertainty-guided Fine-tuning of Variational Autoencoders. CoRR abs/2405.20573 (2024) - [i19]Amir Hossein Rahmati, Mingzhou Fan, Ruida Zhou, Nathan M. Urban, Byung-Jun Yoon, Xiaoning Qian:
Understanding Uncertainty-based Active Learning Under Model Mismatch. CoRR abs/2408.13690 (2024) - [i18]Alif Bin Abdul Qayyum, Xihaier Luo, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon:
Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate Data. CoRR abs/2409.17367 (2024) - [i17]Gilchan Park, Paul Baity, Byung-Jun Yoon, Adolfy Hoisie:
Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features. CoRR abs/2410.04251 (2024) - [i16]Alif Bin Abdul Qayyum, Susan D. Mertins, Amanda K. Paulson, Nathan M. Urban, Byung-Jun Yoon:
Pathway-Guided Optimization of Deep Generative Molecular Design Models for Cancer Therapy. CoRR abs/2411.03460 (2024) - [i15]Nicholas Jeon, Xiaoning Qian, Lamin SaidyKhan, Paul de Figueiredo, Byung-Jun Yoon:
LoRA-BERT: a Natural Language Processing Model for Robust and Accurate Prediction of long non-coding RNAs. CoRR abs/2411.08073 (2024) - [i14]Yi Huang, Yeonju Go, Jin Huang, Shuhang Li, Xihaier Luo, Thomas Marshall, Joseph D. Osborn, Christopher Pinkenburg, Yihui Ren, Evgeny Shulga, Shinjae Yoo, Byung-Jun Yoon:
Variable Rate Neural Compression for Sparse Detector Data. CoRR abs/2411.11942 (2024) - [i13]Xihaier Luo, Samuel Lurvey, Yi Huang, Yihui Ren, Jin Huang, Byung-Jun Yoon:
Efficient Compression of Sparse Accelerator Data Using Implicit Neural Representations and Importance Sampling. CoRR abs/2412.01754 (2024) - [i12]Puhua Niu, Byung-Jun Yoon, Xiaoning Qian:
Epidemiological Model Calibration via Graybox Bayesian Optimization. CoRR abs/2412.07193 (2024) - 2023
- [j60]Qihua Chen, Xuejin Chen, Hyun-Myung Woo, Byung-Jun Yoon:
Neural message-passing for objective-based uncertainty quantification and optimal experimental design. Eng. Appl. Artif. Intell. 123(Part A): 106171 (2023) - [j59]Puhua Niu, Maria J. Soto, Shuai Huang, Byung-Jun Yoon, Edward R. Dougherty, Francis J. Alexander, Ian Blaby, Xiaoning Qian:
Sensitivity Analysis of Genome-Scale Metabolic Flux Prediction. J. Comput. Biol. 30(7): 751-765 (2023) - [j58]Xiaoning Qian, Byung-Jun Yoon, Raymundo Arróyave, Xiaofeng Qian, Edward R. Dougherty:
Knowledge-driven learning, optimization, and experimental design under uncertainty for materials discovery. Patterns 4(11): 100863 (2023) - [j57]Hyun-Myung Woo, Xiaoning Qian, Li Tan, Shantenu Jha, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon:
Optimal decision-making in high-throughput virtual screening pipelines. Patterns 4(11): 100875 (2023) - [j56]Francis J. Alexander, Meifeng Lin, Xiaoning Qian, Byung-Jun Yoon:
Accelerating scientific discoveries through data-driven innovations. Patterns 4(11): 100876 (2023) - [j55]Omar Maddouri, Xiaoning Qian, Byung-Jun Yoon:
Geometric Affinity Propagation for Clustering With Network Knowledge. IEEE Trans. Knowl. Data Eng. 35(11): 11419-11436 (2023) - [c48]Alif Bin Abdul Qayyum, Xiaoning Qian, Byung-Jun Yoon:
Enhancing Cryo-EM Particle Picking Through Consistency Model-based Latent Space Denoiser. BCB 2023: 72:1 - [c47]Gilchan Park, Byung-Jun Yoon, Xihaier Luo, Vanessa López-Marrero, Patrick R. Johnstone, Shinjae Yoo, Francis J. Alexander:
Automated Extraction of Molecular Interactions and Pathway Knowledge using Large Language Model, Galactica: Opportunities and Challenges. BioNLP@ACL 2023: 255-264 - [e1]May D. Wang, Byung-Jun Yoon:
Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2023, Houston, TX, USA, September 3-6, 2023. ACM 2023 [contents] - [i11]Xihaier Luo, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Byung-Jun Yoon:
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response. CoRR abs/2301.01769 (2023) - [i10]Line Pouchard, Kristofer G. Reyes, Francis J. Alexander, Byung-Jun Yoon:
A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows. CoRR abs/2301.05763 (2023) - [i9]Gilchan Park, Byung-Jun Yoon, Xihaier Luo, Vanessa López-Marrero, Patrick R. Johnstone, Shinjae Yoo, Francis J. Alexander:
Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge. CoRR abs/2307.08813 (2023) - [i8]Sanket R. Jantre, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon:
Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks. CoRR abs/2309.03061 (2023) - 2022
- [j54]Omar Maddouri, Xiaoning Qian, Byung-Jun Yoon:
Deep graph representations embed network information for robust disease marker identification. Bioinform. 38(4): 1075-1086 (2022) - [j53]Omar Maddouri, Xiaoning Qian, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon:
Robust importance sampling for error estimation in the context of optimal Bayesian transfer learning. Patterns 3(3): 100428 (2022) - [j52]Paul Chong, Byung-Jun Yoon, Debbie Lai, Michael Carlson, Jarone Lee, Shuhan He:
Looking back on forward-looking COVID models. Patterns 3(7): 100492 (2022) - [c46]Xihaier Luo, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Byung-Jun Yoon:
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response. BIBM 2022: 2366-2374 - [c45]Mingzhou Fan, Byung-Jun Yoon, Francis J. Alexander, Edward R. Dougherty, Xiaoning Qian:
Adaptive Group Testing with Mismatched Models. ICASSP 2022: 4533-4537 - [i7]A. N. M. Nafiz Abeer, Nathan M. Urban, M. Ryan Weil, Francis J. Alexander, Byung-Jun Yoon:
Multi-Objective Latent Space Optimization of Generative Molecular Design Models. CoRR abs/2203.00526 (2022) - [i6]Qihua Chen, Hyun-Myung Woo, Xuejin Chen, Byung-Jun Yoon:
Neural Message Passing for Objective-Based Uncertainty Quantification and Optimal Experimental Design. CoRR abs/2203.07120 (2022) - 2021
- [j51]Youngjoon Hong, Bongsuk Kwon, Byung-Jun Yoon:
Optimal Experimental Design for Uncertain Systems Based on Coupled Differential Equations. IEEE Access 9: 53804-53810 (2021) - [j50]Byung-Jun Yoon, Xiaoning Qian, Edward R. Dougherty:
Quantifying the Multi-Objective Cost of Uncertainty. IEEE Access 9: 80351-80359 (2021) - [j49]Hyun-Myung Woo, Byung-Jun Yoon:
MONACO: accurate biological network alignment through optimal neighborhood matching between focal nodes. Bioinform. 37(10): 1401-1410 (2021) - [j48]Francis J. Alexander, James A. Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishnaiah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon:
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35(6): 598-616 (2021) - [j47]Hyun-Myung Woo, Youngjoon Hong, Bongsuk Kwon, Byung-Jun Yoon:
Accelerating Optimal Experimental Design for Robust Synchronization of Uncertain Kuramoto Oscillator Model Using Machine Learning. IEEE Trans. Signal Process. 69: 6473-6487 (2021) - [c44]Ziyu Xiang, Mingzhou Fan, Guillermo Vázquez Tovar, William Trehern, Byung-Jun Yoon, Xiaofeng Qian, Raymundo Arróyave, Xiaoning Qian:
Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science. AAAI 2021: 10414-10421 - [c43]Woo Seok Kim, Hyun-Myung Woo, M. Ibrahim Khot, Sungcheol Hong, David G. Jayne, Byung-Jun Yoon, Sung Il Park:
AI-Enabled High-Throughput Wireless Telemetry for Effective Photodynamic Therapy. ACSCC 2021: 811-815 - [c42]Guang Zhao, Edward R. Dougherty, Byung-Jun Yoon, Francis J. Alexander, Xiaoning Qian:
Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty. AISTATS 2021: 3970-3978 - [c41]Guang Zhao, Edward R. Dougherty, Byung-Jun Yoon, Francis J. Alexander, Xiaoning Qian:
Uncertainty-aware Active Learning for Optimal Bayesian Classifier. ICLR 2021 - [c40]Guang Zhao, Edward R. Dougherty, Byung-Jun Yoon, Francis J. Alexander, Xiaoning Qian:
Efficient Active Learning for Gaussian Process Classification by Error Reduction. NeurIPS 2021: 9734-9746 - [i5]Omar Maddouri, Xiaoning Qian, Byung-Jun Yoon:
Geometric Affinity Propagation for Clustering with Network Knowledge. CoRR abs/2103.14376 (2021) - [i4]Omar Maddouri, Xiaoning Qian, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon:
Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning. CoRR abs/2109.02150 (2021) - [i3]Hyun-Myung Woo, Xiaoning Qian, Li Tan, Shantenu Jha, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon:
Optimal Decision Making in High-Throughput Virtual Screening Pipelines. CoRR abs/2109.11683 (2021) - 2020
- [j46]Yijie Wang, Hyundoo Jeong, Byung-Jun Yoon, Xiaoning Qian:
ClusterM: a scalable algorithm for computational prediction of conserved protein complexes across multiple protein interaction networks. BMC Genom. 21(S-10) (2020) - [j45]Guang Zhao, Xiaoning Qian, Byung-Jun Yoon, Francis J. Alexander, Edward R. Dougherty:
Model-Based Robust Filtering and Experimental Design for Stochastic Differential Equation Systems. IEEE Trans. Signal Process. 68: 3849-3859 (2020) - [c39]Hyun-Myung Woo, Byung-Jun Yoon:
Network-Based RNA Structural Alignment Through Optimal Local Neighborhood Matching. ACSSC 2020: 501-505 - [c38]Hyun-Myung Woo, Woo Seok Kim, Sungcheol Hong, Vivekanand Jeevakumar, Clay M. Smithhart, Theodore J. Price, Byung-Jun Yoon, Sung Il Park:
Machine Learning Enabled Adaptive Wireless Power Transmission System for Neuroscience Study. ACSSC 2020: 808-812 - [i2]Youngjoon Hong, Bongsuk Kwon, Byung-Jun Yoon:
Optimal Experimental Design for Uncertain Systems Based on Coupled Differential Equations. CoRR abs/2007.06117 (2020) - [i1]Byung-Jun Yoon, Xiaoning Qian, Edward R. Dougherty:
Quantifying the multi-objective cost of uncertainty. CoRR abs/2010.04653 (2020)
2010 – 2019
- 2019
- [j44]Chun-Chi Chen, Xiaoning Qian, Byung-Jun Yoon:
RNAdetect: efficient computational detection of novel non-coding RNAs. Bioinform. 35(7): 1133-1141 (2019) - [j43]Chun-Chi Chen, Hyundoo Jeong, Xiaoning Qian, Byung-Jun Yoon:
TOPAS: network-based structural alignment of RNA sequences. Bioinform. 35(17): 2941-2948 (2019) - [j42]Byung-Jun Yoon, Xiaoning Qian, Tamer Kahveci, Ranadip Pal:
Selected research articles from the 2018 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC). BMC Bioinform. 20-S(12): 316:1-316:3 (2019) - 2018
- [j41]Byung-Jun Yoon, Xiaoning Qian, Tamer Kahveci, Ranadip Pal:
Selected research articles from the 2017 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC). BMC Bioinform. 19-S(3): 69:1-69:4 (2018) - [j40]Noushin Ghaffari, Osama A. Arshad, Hyundoo Jeong, John Thiltges, Michael F. Criscitiello, Byung-Jun Yoon, Aniruddha Datta, Charles D. Johnson:
Examining De Novo Transcriptome Assemblies via a Quality Assessment Pipeline. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 494-505 (2018) - [j39]Mansuck Kim, Huan Zhang, Charles Woloshuk, Won-Bo Shim, Byung-Jun Yoon:
Computational Prediction of Pathogenic Network Modules in Fusarium verticillioides. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 506-515 (2018) - [c37]Hyun-Myung Woo, Hyundoo Jeong, Byung-Jun Yoon:
Comprehensive Updates in Network Synthesis Models to Create An Improved Benchmark for Network Alignment Algorithms. BCB 2018: 587-588 - 2017
- [j38]Chun-Chi Chen, Xiaoning Qian, Byung-Jun Yoon:
Effective computational detection of piRNAs using n-gram models and support vector machine. BMC Bioinform. 18(14): 103-109 (2017) - [j37]Hyundoo Jeong, Xiaoning Qian, Byung-Jun Yoon:
CUFID-query: accurate network querying through random walk based network flow estimation. BMC Bioinform. 18(14): 133-146 (2017) - [j36]Byung-Jun Yoon, Xiaoning Qian, Tamer Kahveci:
Selected research articles from the 2016 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC). BMC Bioinform. 18(S-4): 1-3 (2017) - [j35]Hyundoo Jeong, Byung-Jun Yoon:
SEQUOIA: significance enhanced network querying through context-sensitive random walk and minimization of network conductance. BMC Syst. Biol. 11(3): 20:1-20:11 (2017) - [j34]Chun-Chi Chen, Noushin Ghaffari, Xiaoning Qian, Byung-Jun Yoon:
Optimal hybrid sequencing and assembly: Feasibility conditions for accurate genome reconstruction and cost minimization strategy. Comput. Biol. Chem. 69: 153-163 (2017) - [c36]Byung-Jun Yoon, Xiaoning Qian, Tamer Kahveci:
CNB-MAC'17: The Fourth International Workshop on Computational Network Biology: Modeling, Analysis, and Control. BCB 2017: 750 - 2016
- [j33]Navadon Khunlertgit, Byung-Jun Yoon:
Incorporating topological information for predicting robust cancer subnetwork markers in human protein-protein interaction network. BMC Bioinform. 17(S-13): 351 (2016) - [j32]Hyundoo Jeong, Xiaoning Qian, Byung-Jun Yoon:
Effective comparative analysis of protein-protein interaction networks by measuring the steady-state network flow using a Markov model. BMC Bioinform. 17(S-13): 395 (2016) - [c35]Hyundoo Jeong, Byung-Jun Yoon:
SEQUOIA: Significance enhanced network querying through context-sensitive random walk and minimization of network conductance. BCB 2016: 535-536 - [c34]Yijie Wang, Byung-Jun Yoon, Xiaoning Qian:
Co-segmentation of multiple images through random walk on graphs. ICASSP 2016: 1811-1815 - [p1]Xiaoning Qian, Byung-Jun Yoon, Edward R. Dougherty:
Inference of gene regulatory networks: validation and uncertainty. Big Data over Networks 2016: 337-364 - 2015
- [j31]Roozbeh Dehghannasiri, Byung-Jun Yoon, Edward R. Dougherty:
Erratum to: Efficient experimental design for uncertainty reduction in gene regulatory networks. BMC Bioinform. 16: 410:1 (2015) - [j30]Mansuck Kim, Huan Zhang, Charles Woloshuk, Won-Bo Shim, Byung-Jun Yoon:
Computational identification of genetic subnetwork modules associated with maize defense response to Fusarium verticillioides. BMC Bioinform. 16(S13): S12 (2015) - [j29]Roozbeh Dehghannasiri, Byung-Jun Yoon, Edward R. Dougherty:
Efficient experimental design for uncertainty reduction in gene regulatory networks. BMC Bioinform. 16(S13): S2 (2015) - [j28]Hyundoo Jeong, Byung-Jun Yoon:
Accurate multiple network alignment through context-sensitive random walk. BMC Syst. Biol. 9(S-1): S7 (2015) - [j27]Ariana Broumand, Mohammad Shahrokh Esfahani, Byung-Jun Yoon, Edward R. Dougherty:
Discrete optimal Bayesian classification with error-conditioned sequential sampling. Pattern Recognit. 48(11): 3766-3782 (2015) - [j26]Hyundoo Jeong, Byung-Jun Yoon:
Effective Estimation of Node-to-Node Correspondence Between Different Graphs. IEEE Signal Process. Lett. 22(6): 661-665 (2015) - [j25]Roozbeh Dehghannasiri, Byung-Jun Yoon, Edward R. Dougherty:
Optimal Experimental Design for Gene Regulatory Networks in the Presence of Uncertainty. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 938-950 (2015) - [c33]Hyundoo Jeong, Byung-Jun Yoon:
Identifying molecular complexes in biological networks through context sensitive network querying. BCB 2015: 647 - [c32]Mansuck Kim, Huan Zhang, Charles Woloshuk, Won-Bo Shim, Byung-Jun Yoon:
Computational identification of key functional genes associated with fusarium verticillioides pathogenicity. BCB 2015: 648 - 2014
- [j24]Byung-Jun Yoon:
Sequence alignment by passing messages. BMC Genom. 15(S-1): S14 (2014) - [j23]Navadon Khunlertgit, Byung-Jun Yoon:
Simultaneous identification of robust synergistic subnetwork markers for effective cancer prognosis. EURASIP J. Bioinform. Syst. Biol. 2014: 19 (2014) - [c31]Navadon Khunlertgit, Byung-Jun Yoon:
Simultaneous identification of robust synergistic subnetwork markers for effective cancer prognosis. BCB 2014: 681 - [c30]Hyundoo Jeong, Byung-Jun Yoon:
A novel context-sensitive random walk model for estimating node correspondence between two biological networks. BCB 2014: 684 - [c29]Mansuck Kim, Huan Zhang, Charles Woloshuk, Won-Bo Shim, Byung-Jun Yoon:
Computational identification of functional network modules associated with the pathogenicity of Fusarium verticillioides. BCB 2014: 685 - [c28]Noushin Ghaffari, Osama A. Arshad, Hyundoo Jeong, John Thiltges, Michael F. Criscitiello, Byung-Jun Yoon, Aniruddha Datta, Charles D. Johnson:
De novo transcriptome assemblies and annotation for pacifie whiteleg shrimp. GlobalSIP 2014: 1342-1343 - [c27]Roozbeh Dehghannasiri, Byung-Jun Yoon, Edward R. Dougherty:
Computationally efficient experimental design strategy for reducing gene network uncertainty. GlobalSIP 2014: 1380-1381 - 2013
- [j22]Navadon Khunlertgit, Byung-Jun Yoon:
Identification of Robust Pathway Markers for Cancer through Rank-Based Pathway Activity Inference. Adv. Bioinformatics 2013: 618461:1-618461:8 (2013) - [j21]Mohammad Shahrokh Esfahani, Jason M. Knight, Amin Zollanvari, Byung-Jun Yoon, Edward R. Dougherty:
Classifier design given an uncertainty class of feature distributions via regularized maximum likelihood and the incorporation of biological pathway knowledge in steady-state phenotype classification. Pattern Recognit. 46(10): 2783-2797 (2013) - [j20]Byung-Jun Yoon, Xiaoning Qian, Edward R. Dougherty:
Quantifying the Objective Cost of Uncertainty in Complex Dynamical Systems. IEEE Trans. Signal Process. 61(9): 2256-2266 (2013) - [c26]Priyanka J. Raja, Justin Jacob, Byung-Jun Yoon, Geoffrey Bartholomeusz, Arvind Rao:
Automated image analysis and inference of gene function from high - Content screens. EUSIPCO 2013: 1-5 - [c25]Roozbeh Dehghannasiri, Byung-Jun Yoon, Edward R. Dougherty:
Designing experiments for optimal reduction of uncertainty in gene regulatory networks. GENSiPS 2013: 88-89 - [c24]Navadon Khunlertgit, Byung-Jun Yoon:
Finding robust subnetwork markers that improve cross-dataset performance of cancer classification. GlobalSIP 2013: 94 - 2012
- [j19]Sayed Mohammad Ebrahim Sahraeian, Byung-Jun Yoon:
RESQUE: Network reduction using semi-Markov random walk scores for efficient querying of biological networks. Bioinform. 28(16): 2129-2136 (2012) - [j18]Byung-Jun Yoon, Xiaoning Qian, Sayed Mohammad Ebrahim Sahraeian:
Comparative Analysis of Biological Networks: Hidden Markov model and Markov chain-based approach. IEEE Signal Process. Mag. 29(1): 22-34 (2012) - [c23]Amir Nikooienejad, Richard Metz, Byung-Jun Yoon, Charles D. Johnson:
Fast DNA barcode generating algorithm using Radix Coding method. GENSiPS 2012: 26-30 - [c22]Navadon Khunlertgit, Byung-Jun Yoon:
Finding robust pathway markers for cancer classification. GENSiPS 2012: 147-150 - [c21]Xiaoning Qian, Byung-Jun Yoon, Edward R. Dougherty:
Structural intervention of gene regulatory networks by general rank-k matrix perturbation. ICASSP 2012: 729-732 - [c20]Sayed Mohammad Ebrahim Sahraeian, Byung-Jun Yoon:
RESQUE: Network Reduction Using Semi-Markov Random Walk Scores for Efficient Querying of Biological Networks (Extended Abstract). RECOMB 2012: 239-240 - 2011
- [j17]Byung-Jun Yoon:
Enhanced stochastic optimization algorithm for finding effective multi-target therapeutics. BMC Bioinform. 12(S-1): S18 (2011) - [j16]