Seungchan Kim

发表

Template-based intervention in Boolean network models of biological systems

Michael P. Verdicchio, Seungchan Kim, Seungchan Kim, 2014, EURASIP J. Bioinform. Syst. Biol..

Prediction of Pairwise Gene Interaction Using Threshold Logic

Sarma Vrudhula, Seungchan Kim, Tejaswi Gowda, 2009, Annals of the New York Academy of Sciences.

Multiresolution Analysis for Optimal Binary Filters

Edward R. Dougherty, Junior Barrera, Marcel Brun, 2001, Journal of Mathematical Imaging and Vision.

A nonlinear discrete dynamical model for transcriptional regulation: construction and properties.

Seungchan Kim, John Goutsias, J. Goutsias, 2004, Biophysical journal.

Differential Pathway Dependency Discovery Associated with Drug Response across Cancer Cell Lines

Stuart L. Schreiber, Seungchan Kim, Michael E. Berens, 2017, PSB.

Granulometric classifiers from small samples

Edward R. Dougherty, Junior Barrera, Ronaldo Fumio Hashimoto, 2002, IS&T/SPIE Electronic Imaging.

CAN MARKOV CHAIN MODELS MIMIC BIOLOGICAL REGULATION

Edward R. Dougherty, Seungchan Kim, Huai Li, 2002 .

Parallel computation for coefficients of determination in the context of multivariate gene-expression analysis

Michael L. Bittner, Edward R. Dougherty, Yidong Chen, 2004 .

Automated analysis of multivariate nonlinear gene relations based on cDNA microarray expression data

Michael L. Bittner, Edward R. Dougherty, Krishnamoorthy Sivakumar, 2000, Photonics West - Biomedical Optics.

Unsupervised morphological granulometric texture segmentation of digital mammograms

Nasser Kehtarnavaz, Edward R. Dougherty, Krishnamoorthy Sivakumar, 1999, J. Electronic Imaging.

Abstract A30: Integrated analysis of genomic data and annotations in cancer research

Seungchan Kim, Manuel Hidalgo, Haiyong Han, 2009 .

Fast run-length-based algorithm for one-dimensional flat opening

Edward R. Dougherty, Seungchan Kim, Sinan Batman, 1998, Optics & Photonics.

Mining molecular contexts of cancer via in-silico conditioning.

Seungchan Kim, Ina Sen, Micheal Bittner, 2007, Computational systems bioinformatics. Computational Systems Bioinformatics Conference.

Planning interventions in biological networks

Daniel Bryce, Michael P. Verdicchio, Seungchan Kim, 2010, TIST.

Clustering algorithms: can anything be concluded?

Junior Barrera, Marcel Brun, Seungchan Kim, 2001, Nature Genetics.

Parallel Computation and Visualization Tools for Codetermination Analysis of Multivariate Gene Expression Relations

Michael L. Bittner, Edward R. Dougherty, Yidong Chen, 2006 .

BioLog: A Browser Based Collaboration and Resource Navigation Assistant for BioMedical Researchers

I. V. Ramakrishnan, Huan Liu, Hasan Davulcu, 2005, DILS.

Threshold Logic Gene Regulatory Model - Prediction of Dorsal-ventral Patterning and Hardware-based Simulation of Drosophila

Sarma B. K. Vrudhula, Seungchan Kim, Tejaswi Gowda, 2008, BIODEVICES.

Fuzzy C-means Clustering with Prior Biological Knowledge

Chitta Baral, Luis Tari, Seungchan Kim, 2022 .

Contextualization of drug-mediator relations using evidence networks

Seungchan Kim, Jeff Kiefer, Gil Speyer, 2017, BMC Bioinformatics.

In-silico conditioning of microRNA to identify potential biomarkers from serum for pancreatic cancer

Sara Nasser, Seungchan Kim, Glen J. Weiss, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

Strong Feature Sets from Small Samples

Michael L. Bittner, Edward R. Dougherty, Junior Barrera, 2002, J. Comput. Biol..

Stochastic Transcriptional Regulatory Systems with Time Delays: A Mean-Field Approximation

Seungchan Kim, John K. Goutsias, J. Goutsias, 2006, J. Comput. Biol..

Coefficient of determination in nonlinear signal processing

Edward R. Dougherty, Yidong Chen, Seungchan Kim, 2000, Signal Process..

Integrated approach for computational systems biology

Michael L. Bittner, Seungchan Kim, Phillip Stafford, 2005 .

Feature selection algorithms to find strong genes

Edward R. Dougherty, Junior Barrera, Ronaldo Fumio Hashimoto, 2005, Pattern Recognit. Lett..

Corrected Small-sample Estimation of the Bayes Error

Edward R. Dougherty, Marcel Brun, Seungchan Kim, 2003, Bioinform..

Knowledge-Assisted Approach to Identify Pathways with Differential Dependencies

Seungchan Kim, Michael E. Berens, Jeff Kiefer, 2016, PSB.

Quantization of Global Gene Expression Data

Marcel Brun, Seungchan Kim, Tae-Hoon Chung, 2006, 2006 5th International Conference on Machine Learning and Applications (ICMLA'06).

Inference from Clustering with Application to Gene-Expression Microarrays

Roberto Marcondes Cesar Junior, Michael L. Bittner, Edward R. Dougherty, 2002, J. Comput. Biol..

An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset

Chitta Baral, Seungchan Kim, Xin Zhang, 2005, AIME.

Joint learning of logic relationships for studying protein function using phylogenetic profiles and the rosetta stone method

Chitta Baral, Seungchan Kim, Tie Wang, 2006, IEEE Transactions on Signal Processing.

Clustering Context-Specific Gene Regulatory Networks

Seungchan Kim, Archana Ramesh, Robert Trevino, 2010, Pacific Symposium on Biocomputing.

Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks

Edward R. Dougherty, Ilya Shmulevich, Seungchan Kim, 2002, Bioinform..

Identifying MiRNA and Imaging Features Associated with Metastasis of Lung Cancer to the Brain

Sara Nasser, Seungchan Kim, Glen J. Weiss, 2009, 2009 IEEE International Conference on Bioinformatics and Biomedicine.

Planning for Gene Regulatory Network Intervention

Daniel Bryce, Seungchan Kim, 2006, 2006 IEEE/NLM Life Science Systems and Applications Workshop.

Comparison of Gene Regulatory Networks via Steady-State Trajectories

Edward R. Dougherty, Marcel Brun, Seungchan Kim, 2007, EURASIP J. Bioinform. Syst. Biol..

Parallel computing methods for analyzing gene expression relationships

Edward R. Dougherty, Robert L. Martino, Edward B. Suh, 2001, SPIE BiOS.

Planning Interventions for Gene Regulatory Networks as Partially Observable Markov Decision Processes

Daniel Bryce, Seungchan Kim, 2010 .

Genomic Signal Processing

Yufei Huang, Xiaodong Cai, Seungchan Kim, 2012, IEEE Signal Processing Magazine.

Time series inference from clustering

Junior Barrera, Marcel Brun, Yidong Chen, 2001, SPIE BiOS.

Context-specific gene regulatory networks subdivide intrinsic subtypes of breast cancer

Sara Nasser, Seungchan Kim, Michael A. Black, 2010, DTMBIO '10.

GPU-Accelerated Differential Dependency Network Analysis

Seungchan Kim, Juan Rodriguez, Gil Speyer, 2018, 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP).

Growing genetic regulatory networks from seed genes

Michael L. Bittner, Edward R. Dougherty, Ronaldo Fumio Hashimoto, 2004, Bioinform..

Identifying Targets for intervention by Analyzing Basins of Attraction

Michael P. Verdicchio, Seungchan Kim, Seungchan Kim, 2011, Pacific Symposium on Biocomputing.

Nonlinear filters in genomic control

Michael L. Bittner, Edward R. Dougherty, Junior Barrera, 1999, NSIP.

MiningGeneExpression Profiles withBiological Prior Knowledge

Seungchan Kim, 2006 .

Planning forGeneRegulatory NetworkIntervention

Daniel Bryce, Seungchan Kim, 2006 .

Biomarkers associated with metastasis of lung cancer to brain predict patient survival

Seungchan Kim, Michael B. Gotway, Aarati R. Ranade, 2011, Int. J. Data Min. Bioinform..

Parallel programming to identify cellular contexts

S. Raghavan, Seungchan Kim, Shaoyan Zhang, 2008, 2008 IEEE International Workshop on Genomic Signal Processing and Statistics.

Modeling of Gene Regulatory Network Dynamics Using Threshold Logic

Sarma Vrudhula, Seungchan Kim, Tejaswi Gowda, 2009, Annals of the New York Academy of Sciences.