Youngmi Yoon

According to our database1, Youngmi Yoon authored at least 34 papers between 2006 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




PISTON: Predicting drug indications and side effects using topic modeling and natural language processing.
Journal of Biomedical Informatics, 2018

Identification of drug efficacy change using reconstructed network altered by SNPs on pathway gene.
IJDMB, 2018

Drug repositioning using drug-disease vectors based on an integrated network.
BMC Bioinformatics, 2018

Systematic identification of differential gene network to elucidate Alzheimer's disease.
Expert Syst. Appl., 2017

Systematic identification of an integrative network module during senescence from time-series gene expression.
BMC Systems Biology, 2017

Drug voyager: a computational platform for exploring unintended drug action.
BMC Bioinformatics, 2017

Improved prediction of breast cancer outcome by identifying heterogeneous biomarkers.
Bioinformatics, 2017

Development of Query Transformation Method by Cost Optimization.
Int. J. Fuzzy Logic and Intelligent Systems, 2016

Corrigendum to "A literature-driven method to calculate similarities among diseases" [Comput. Methods Programs Biomed. (2015) 108-122].
Computer Methods and Programs in Biomedicine, 2016

DSS: A biclustering method to identify diverse and state specific gene modules in gene expression data.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

IDO: inferring describable disease-gene relationships using opinion sentences.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

LGscore: A method to identify disease-related genes using biological literature and Google data.
Journal of Biomedical Informatics, 2015

BulkAligner: A novel sequence alignment algorithm based on graph theory and Trinity.
Inf. Sci., 2015

A literature-driven method to calculate similarities among diseases.
Computer Methods and Programs in Biomedicine, 2015

Inference of disease-specific gene interaction network using a Bayesian network learned by genetic algorithm.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Discovering phenotype specific gene module using a novel biclustering algorithm in colorectal cancer.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

Improved method for protein complex detection using bottleneck proteins.
BMC Med. Inf. & Decision Making, 2013

ICP: A novel approach to predict prognosis of prostate cancer with inner-class clustering of gene expression data.
Comp. in Bio. and Med., 2013

Impact of TGF-b on breast cancer from a quantitative proteomic analysis.
Comp. in Bio. and Med., 2013

CNV detection method optimized for high-resolution arrayCGH by normality test.
Comp. in Bio. and Med., 2012

Identification of functional CNV region networks using a CNV-gene mapping algorithm in a genome-wide scale.
Bioinformatics, 2012

Protein complex prediction via bottleneck-based graph partitioning.
Proceedings of the ACM sixth international workshop on Data and text mining in biomedical informatics, 2012

Noise-robust algorithm for identifying functionally associated biclusters from gene expression data.
Inf. Sci., 2011

TC-VGC: A Tumor Classification System using Variations in Genes' Correlation.
Computer Methods and Programs in Biomedicine, 2011

Integrative gene network construction for predicting a set of complementary prostate cancer genes.
Bioinformatics [ISMB/ECCB], 2011

Protein Complex Discovery from Protein Interaction Network with High False-Positive Rate.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2011

Microarray Data Classifier Consisting of k-Top-Scoring Rank-Comparison Decision Rules With a Variable Number of Genes.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2010

A novel cancer classifier based on differentially expressed gene network.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

A novel approach to detect copy number variation using segmentation and genetic algorithm.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

A Computational Approach to Detect CNVs Using High-throughput Sequencing.
Proceedings of the Ninth IEEE International Conference on Bioinformatics and Bioengineering, 2009

Direct integration of microarrays for selecting informative genes and phenotype classification.
Inf. Sci., 2008

RN-Cluster: Discovering Coherent Biclusters Which is Robust to Noise.
Proceedings of the International Conference on Biocomputation, 2008

k-TSN(k-Top Scoring N): Microarray Data Classification Based on Rank-Comparison Decision Rules.
Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies 2007, 2007

Building a Classifier for Integrated Microarray Datasets through Two-Stage Approach.
Proceedings of the Sixth IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2006), 2006