Byung-Jun Yoon

发表

Contour-based hidden Markov model to segment 2D ultrasound images

Xiaoning Qian, Byung-Jun Yoon, Xiaoning Qian, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Fast Structural Similarity Search of Noncoding RNAs Based on Matched Filtering of Stem Patterns

Byung-Jun Yoon, P.P. Vaidyanathan, 2007, 2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers.

Comparative Analysis of Biological Networks: Hidden Markov model and Markov chain-based approach

Xiaoning Qian, Byung-Jun Yoon, Sayed Mohammad Ebrahim Sahraeian, 2012, IEEE Signal Processing Magazine.

Shape matching based on graph alignment using hidden Markov models

Xiaoning Qian, Byung-Jun Yoon, Xiaoning Qian, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

TOPAS: network-based structural alignment of RNA sequences

Xiaoning Qian, Byung-Jun Yoon, Chun-Chi Chen, 2019, Bioinform..

A multirate DSP model for estimation of discrete probability density functions

P. P. Vaidyanathan, Byung-Jun Yoon, P. Vaidyanathan, 2005, IEEE Transactions on Signal Processing.

Fast Search of Sequences with Complex Symbol Correlations using Profile Context-Sensitive HMMS and Pre-Screening Filters

P. P. Vaidyanathan, Byung-Jun Yoon, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Discrete probability density estimation using multirate DSP models

P. P. Vaidyanathan, Byung-Jun Yoon, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Coding Overcomplete Representations of Audio Using the MCLT

Henrique S. Malvar, Byung-Jun Yoon, 2008, Data Compression Conference (dcc 2008).

Computationally efficient experimental design strategy for reducing gene network uncertainty

Edward R. Dougherty, Byung-Jun Yoon, Roozbeh Dehghannasiri, 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Non-parametric estimation of discrete probability density functions using multirate DSP models

Byung-Jun Yoon, P. P. Vaidyanathan, 2003 .

9th IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)

Byung-Jun Yoon, Haris Vikalo, Nevenka Dimitrova, 2010 .

Enhancing the accuracy of HMM-based conserved pathway prediction using global correspondence scores

Xiaoning Qian, Byung-Jun Yoon, Sayed Mohammad Ebrahim Sahraeian, 2011, BMC Bioinformatics.

Comparative analysis of protein interaction networks reveals that conserved pathways are susceptible to HIV-1 interception

Xiaoning Qian, Byung-Jun Yoon, Xiaoning Qian, 2011, BMC Bioinformatics.

Quantifying the Objective Cost of Uncertainty in Complex Dynamical Systems

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2013, IEEE Transactions on Signal Processing.

Signal processing methods for genomic sequence analysis

P. P. Vaidyanathan, Byung-Jun Yoon, P. Vaidyanathan, 2007 .

The role of signal-processing concepts in genomics and proteomics

P. P. Vaidyanathan, Byung-Jun Yoon, P. Vaidyanathan, 2004, J. Frankl. Inst..

PicXAA: a probabilistic scheme for finding the maximum expected accuracy alignment of multiple biological sequences.

Byung-Jun Yoon, Sayed Mohammad Ebrahim Sahraeian, 2014, Methods in molecular biology.

Uncertainty-based essentiality in gene regulatory networks

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Effective annotation of noncoding RNA families using profile context-sensitive HMMs

Byung-Jun Yoon, Byung-Jun Yoon, 2008, 2008 3rd International Symposium on Communications, Control and Signal Processing.

Designing enhanced classifiers using prior process knowledge: Regularized maximum-likelihood

Edward R. Dougherty, Amin Zollanvari, Byung-Jun Yoon, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

GENE AND EXON PREDICTION USING ALLPASS-BASED FILTERS

P. P. Vaidyanathan, Byung-Jun Yoon, 2002 .

Identification of diagnostic subnetwork markers for cancer in human protein-protein interaction network

Edward R. Dougherty, Byung-Jun Yoon, Junjie Su, 2010, BMC Bioinformatics.

Identifying molecular complexes in biological networks through context sensitive network querying

Byung-Jun Yoon, Hyundoo Jeong, 2015, BCB.

Identifying reliable subnetwork markers in protein-protein interaction network for classification of breast cancer metastasis

Byung-Jun Yoon, Junjie Su, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Monaco: Accurate Biological Network Alignment Through Optimal Neighborhood Matching Between Focal Nodes.

Byung-Jun Yoon, Hyun-Myung Woo, 2020, Bioinformatics.

Discrete optimal Bayesian classification with error-conditioned sequential sampling

Edward R. Dougherty, Byung-Jun Yoon, Mohammad Shahrokh Esfahani, 2015, Pattern Recognit..

Fast DNA barcode generating algorithm using Radix Coding method

Byung-Jun Yoon, Amir Nikooienejad, Richard Metz, 2012, Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Finding robust subnetwork markers that improve cross-dataset performance of cancer classification

Byung-Jun Yoon, Navadon Khunlertgit, 2013, 2013 IEEE Global Conference on Signal and Information Processing.

RNAdetect: efficient computational detection of novel non-coding RNAs

Xiaoning Qian, Chun-Chi Chen, Byung-Jun Yoon, 2018, Bioinform..

CUFID-query: accurate network querying through random walk based network flow estimation

Xiaoning Qian, Byung-Jun Yoon, Hyundoo Jeong, 2017, BMC Bioinformatics.

Hidden Markov Models and their Applications in Biological Sequence Analysis

Byung-Jun Yoon, Byung-Jun Yoon, 2009, Current genomics.

Effective Estimation of Node-to-Node Correspondence Between Different Graphs

Byung-Jun Yoon, Hyundoo Jeong, 2015, IEEE Signal Processing Letters.

Computational Prediction of Pathogenic Network Modules in Fusarium verticillioides

Huan Zhang, Byung-Jun Yoon, Won-Bo Shim, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

NAPAbench 2: A network synthesis algorithm for generating realistic protein-protein interaction (PPI) network families

Byung-Jun Yoon, Hyundoo Jeong, Hyun-Myung Woo, 2020, PloS one.

Genomic Signal Processing

Ulisses Braga-Neto, Byung-Jun Yoon, Haris Vikalo, 2010 .

Structural Alignment of RNAs Using Profile-csHMMs and Its Application to RNA Homology Search: Overview and New Results

P. P. Vaidyanathan, Byung-Jun Yoon, P. Vaidyanathan, 2008, IEEE Transactions on Automatic Control.

Quantifying the Multi-Objective Cost of Uncertainty pdf

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2020, IEEE Access.

Simultaneous identification of robust synergistic subnetwork markers for effective cancer prognosis

Byung-Jun Yoon, Navadon Khunlertgit, Byung-Jun Yoon, 2014, BCB.

Probabilistic consistency transformation for multiple alignment of biological networks

Byung-Jun Yoon, Sayed Mohammad Ebrahim Sahraeian, Byung-Jun Yoon, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

A novel context-sensitive random walk model for estimating node correspondence between two biological networks

Byung-Jun Yoon, Hyundoo Jeong, 2014, BCB.

Erratum to: Efficient experimental design for uncertainty reduction in gene regulatory networks

Edward R. Dougherty, Byung-Jun Yoon, Roozbeh Dehghannasiri, 2015, BMC Bioinformatics.

Optimal hybrid sequencing and assembly: Feasibility conditions for accurate genome reconstruction and cost minimization strategy

Xiaoning Qian, Chun-Chi Chen, Byung-Jun Yoon, 2017, Comput. Biol. Chem..

Robust Adaptive Beamforming Algorithm using Instantaneous Direction of Arrival with Enhanced Noise Suppression Capability

Alex Acero, Ivan Tashev, Byung-Jun Yoon, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Probabilistic reconstruction of the tumor progression process in gene regulatory networks in the presence of uncertainty

Edward R. Dougherty, Byung-Jun Yoon, Mohammad Shahrokh Esfahani, 2011, BMC Bioinformatics.

Optimal Experimental Design for Gene Regulatory Networks in the Presence of Uncertainty

Edward R. Dougherty, Byung-Jun Yoon, Roozbeh Dehghannasiri, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Enhanced stochastic optimization algorithm for finding effective multi-target therapeutics

Byung-Jun Yoon, Byung-Jun Yoon, 2011, BMC Bioinformatics.

Finding effective subnetwork markers for cancer by passing messages

Byung-Jun Yoon, Byung-Jun Yoon, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

De novo transcriptome assemblies and annotation for pacifie whiteleg shrimp

Aniruddha Datta, Byung-Jun Yoon, Hyundoo Jeong, 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

The Design of Nonuniform Lapped Transforms

Henrique S. Malvar, Byung-Jun Yoon, 2005 .

Accurate multiple network alignment through context-sensitive random walk

Byung-Jun Yoon, Hyundoo Jeong, 2015, BMC Systems Biology.

RESQUE: Network reduction using semi-Markov random walk scores for efficient querying of biological networks

Byung-Jun Yoon, Sayed Mohammad Ebrahim Sahraeian, Byung-Jun Yoon, 2012, Bioinform..

Optimal alignment algorithm for context-sensitive hidden Markov models

P. P. Vaidyanathan, Byung-Jun Yoon, P. Vaidyanathan, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Discrete pdf estimation in the presence of noise

P. P. Vaidyanathan, Byung-Jun Yoon, 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

HMM with auxiliary memory: a new tool for modeling RNA structures

Byung-Jun Yoon, P.P. Vaidynathan, Byung-Jun Yoon, 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

Identification of Robust Pathway Markers for Cancer through Rank-Based Pathway Activity Inference

Byung-Jun Yoon, Navadon Khunlertgit, Byung-Jun Yoon, 2013, Adv. Bioinformatics.

Co-segmentation of multiple images through random walk on graphs

Yijie Wang, Xiaoning Qian, Byung-Jun Yoon, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Effective comparative analysis of protein-protein interaction networks by measuring the steady-state network flow using a Markov model

Xiaoning Qian, Byung-Jun Yoon, Hyundoo Jeong, 2016, BMC Bioinformatics.

Scoring Algorithm for Context-Sensitive HMMs with Application to RNA Secondary Structure Analysis

Byung-Jun Yoon, Byung-Jun Yoon, 2005 .

Selected research articles from the 2018 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC)

Tamer Kahveci, Xiaoning Qian, Byung-Jun Yoon, 2019, BMC Bioinformatics.

Wavelet-based denoising by customized thresholding

P. P. Vaidyanathan, Byung-Jun Yoon, P. Vaidyanathan, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Querying Pathways in Protein Interaction Networks Based on Hidden Markov Models

Xiaoning Qian, Byung-Jun Yoon, Sing-Hoi Sze, 2009, J. Comput. Biol..

Computational identification of functional network modules associated with the pathogenicity of Fusarium verticillioides

Huan Zhang, Byung-Jun Yoon, Won-Bo Shim, 2014, BCB.

Computational identification of key functional genes associated with fusarium verticillioides pathogenicity

Huan Zhang, Byung-Jun Yoon, Won-Bo Shim, 2015, BCB.

Selected research articles from the 2016 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC)

Tamer Kahveci, Xiaoning Qian, Byung-Jun Yoon, 2017, BMC Bioinformatics.

Effective computational detection of piRNAs using n-gram models and support vector machine

Xiaoning Qian, Chun-Chi Chen, Byung-Jun Yoon, 2017, BMC Bioinformatics.

Computational identification and analysis of noncoding RNAs - Unearthing the buried treasures in the genorne

Byung-Jun Yoon, P.P. Vaidyanathan, P. Vaidyanathan, 2007, IEEE Signal Processing Magazine.

Optimal Experimental Design for Uncertain Systems Based on Coupled Differential Equations pdf

Youngjoon Hong, Byung-Jun Yoon, Bongsuk Kwon, 2020, IEEE Access.

Model-Based Robust Filtering and Experimental Design for Stochastic Differential Equation Systems

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2020, IEEE Transactions on Signal Processing.

Profile Context-Sensitive HMMs for Probabilistic Modeling of Sequences With Complex Correlations

P. P. Vaidyanathan, Byung-Jun Yoon, P. Vaidyanathan, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Selected research articles from the 2017 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC)

Tamer Kahveci, Xiaoning Qian, Byung-Jun Yoon, 2018, BMC Bioinformatics.

PicXAA-Web: a web-based platform for non-progressive maximum expected accuracy alignment of multiple biological sequences

Byung-Jun Yoon, Sayed Mohammad Ebrahim Sahraeian, Byung-Jun Yoon, 2011, Nucleic Acids Res..

Finding robust pathway markers for cancer classification

Byung-Jun Yoon, Navadon Khunlertgit, Byung-Jun Yoon, 2012, Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Efficient experimental design for uncertainty reduction in gene regulatory networks

Byung-Jun Yoon, Roozbeh Dehghannasiri, Edward R Dougherty, 2015, BMC Bioinformatics.

Structural intervention of gene regulatory networks by general rank-k matrix perturbation

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Comprehensive Updates in Network Synthesis Models to Create An Improved Benchmark for Network Alignment Algorithms

Byung-Jun Yoon, Hyundoo Jeong, Hyun-Myung Woo, 2018, BCB.

PicXAA-R: Efficient structural alignment of multiple RNA sequences using a greedy approach

Byung-Jun Yoon, Sayed Mohammad Ebrahim Sahraeian, Byung-Jun Yoon, 2011, BMC Bioinformatics.

Designing experiments for optimal reduction of uncertainty in gene regulatory networks

Edward R. Dougherty, Byung-Jun Yoon, Roozbeh Dehghannasiri, 2013, 2013 IEEE International Workshop on Genomic Signal Processing and Statistics.

Simple alignment constraints for efficient alignment of RNA sequences using family-specific models

Byung-Jun Yoon, Byung-Jun Yoon, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

Examining De Novo Transcriptome Assemblies via a Quality Assessment Pipeline

Aniruddha Datta, Byung-Jun Yoon, Hyundoo Jeong, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

CNB-MAC'17: The Fourth International Workshop on Computational Network Biology: Modeling, Analysis, and Control

Tamer Kahveci, Xiaoning Qian, Byung-Jun Yoon, 2017, BCB.

Inference of gene regulatory networks: validation and uncertainty

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2016, Big Data over Networks.

Fast network querying algorithm for searching large-scale biological networks

Byung-Jun Yoon, Sayed Mohammad Ebrahim Sahraeian, Byung-Jun Yoon, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Session TA8a1: Signal processing methods for representation, analysis, and control of biological systems

Xiaoning Qian, Byung-Jun Yoon, 2011, ACSCC.

RESQUE: Network Reduction Using Semi-Markov Random Walk Scores for Efficient Querying of Biological Networks (Extended Abstract)

Byung-Jun Yoon, Sayed Mohammad Ebrahim Sahraeian, 2012, RECOMB.

Context-Sensitive Hidden Markov Models for Modeling Long-Range Dependencies in Symbol Sequences

Byung-Jun Yoon, P.P. Vaidyanathan, P. Vaidyanathan, 2006, IEEE Transactions on Signal Processing.

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

Edward R. Dougherty, Amin Zollanvari, Byung-Jun Yoon, 2013, Pattern Recognit..

Computational and Analysis of Noncoding RNAs

P. P. Vaidyanathan, Byung-Jun Yoon, P. Vaidyanathan, 2007 .

A practical approach for the design of nonuniform lapped transforms

Henrique S. Malvar, Byung-Jun Yoon, 2006, IEEE Signal Processing Letters.

Incorporating topological information for predicting robust cancer subnetwork markers in human protein-protein interaction network

Byung-Jun Yoon, Navadon Khunlertgit, Byung-Jun Yoon, 2016, BMC Bioinformatics.

SEQUOIA: Significance enhanced network querying through context-sensitive random walk and minimization of network conductance

Byung-Jun Yoon, Hyundoo Jeong, 2016, BCB.

A Novel Low-Complexity HMM Similarity Measure

Byung-Jun Yoon, Sayed Mohammad Ebrahim Sahraeian, Byung-Jun Yoon, 2011, IEEE Signal Processing Letters.

Sequence alignment by passing messages

Byung-Jun Yoon, Byung-Jun Yoon, 2014, BMC Genomics.

Fast Structural Alignment of RNAs by Optimizing the Adjoining Order of Profile-csHMMs

P. P. Vaidyanathan, Byung-Jun Yoon, P. Vaidyanathan, 2008, IEEE Journal of Selected Topics in Signal Processing.

Efficient Alignment of RNAs with Pseudoknots Using Sequence Alignment Constraints

Byung-Jun Yoon, Byung-Jun Yoon, 2009, EURASIP J. Bioinform. Syst. Biol..

ROBUST ADAPTIVEBEAMFORMING ALGORITHM USINGINSTANTANEOUS DIRECTIONOF ARRIVAL WITH ENHANCED NOISESUPPRESSIONCAPABILITY

Byung-Jun Yoon, 2007 .

Automated image analysis and inference of gene function from high - Content screens

Arvind Rao, Byung-Jun Yoon, Geoffrey Bartholomeusz, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Efficient combinatorial drug optimization through stochastic search

Byung-Jun Yoon, Mansuck Kim, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Uncertainty-aware Active Learning for Optimal Bayesian Classifier

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2021, ICLR.

Optimal Experimental Design for Uncertain Systems Based on Coupled Differential Equations

Youngjoon Hong, Byung-Jun Yoon, Bongsuk Kwon, 2021, IEEE Access.

Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning pdf

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2021, SSRN Electronic Journal.

Quantifying the Multi-Objective Cost of Uncertainty

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2020, IEEE Access.

Adaptive Group Testing with Mismatched Models

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Geometric Affinity Propagation for Clustering with Network Knowledge pdf

Xiaoning Qian, Byung-Jun Yoon, Omar Maddouri, 2021, ArXiv.

Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science

Xiaoning Qian, Byung-Jun Yoon, Xiaofeng Qian, 2021, AAAI.

Trimer: Transcription Regulation Integrated With MEtabolic Regulation

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2021, SSRN Electronic Journal.

Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2021, AISTATS.

Synthetic Data for Design and Evaluation of Binary Classifiers in the Context of Bayesian Transfer Learning

Edward R. Dougherty, Xiaoning Qian, Byung-Jun Yoon, 2021 .

Computational identification of genetic subnetwork modules associated with maize defense response to Fusarium verticillioides

Byung-Jun Yoon, Won-Bo Shim, Mansuck Kim, 2015, BMC Bioinformatics.

A Network Synthesis Model for Generating Protein Interaction Network Families

Byung-Jun Yoon, Sayed Mohammad Ebrahim Sahraeian, Byung-Jun Yoon, 2012, PloS one.

RNA secondary structure prediction using context-sensitive hidden Markov models

Byung-Jun Yoon, Byung-Jun Yoon, P.R. Vaidyanathan, 2004 .

Improved estimation of discrete probability density functions using multirate models

P. P. Vaidyanathan, Byung-Jun Yoon, P. Vaidyanathan, 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.

An overview of the role of context-sensitive HMMS in the prediction of NCRNA genes

Byung-Jun Yoon, P. Vaidyanathan, Byung-Jun Yoon, 2005, IEEE/SP 13th Workshop on Statistical Signal Processing, 2005.

Simultaneous identification of robust synergistic subnetwork markers for effective cancer prognosis

Byung-Jun Yoon, Navadon Khunlertgit, Byung-Jun Yoon, 2014, EURASIP journal on bioinformatics & systems biology.

UNEARTHING THE BURIED TRESASURES-COMPUTATIONAL IDENTIFICATION AND ANALYSIS OF NONCODING RNAS

P. P. Vaidyanathan, Byung-Jun Yoon, P. Vaidyanathan, 2006 .