Ying Liu

Affiliations:
  • St. John's University, College of Professional Studies, New York City, NY, USA
  • University of North Texas at Dallas, Department of Math and Information Sciences, Dallas, TX, USA
  • University of Texas at Dallas, Department of Computer Science and Department of Molecular and Cell Biology, Richardson, TX, USA (2005 - 2010)
  • Georgia Institute of Technology, College of Computing, Atlanta, GA, USA (PhD 2005)


According to our database1, Ying Liu authored at least 30 papers between 2004 and 2019.

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Bibliography

2019
A Context Free Gramma for Key Noun-Phrase Extraction from Text.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2018
The Challenges of Business Analytics: Successes and Failures.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

2017
A Systems Security Analysis of Issuance and Verification of Birth Documents Enhanced with DNA Profiles.
J. Interconnect. Networks, 2017

Securing Birth Certificate Documents with DNA Profiles.
Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

2016
PFC: An Efficient Soft Graph Clustering Method for PPI Networks Based on Purifying and Filtering the Coupling Matrix.
Proceedings of the Intelligent Computing Theories and Application, 2016

2012
A tripartite Clustering Analysis on microRNA, gene and Disease Model.
J. Bioinform. Comput. Biol., 2012

2010
Construction of gene networks with hybrid approach from expression profile and gene ontology.
IEEE Trans. Inf. Technol. Biomed., 2010

2009
Editorial for the special issue of knowledge discovery and management in biomedical information systems.
Inf. Syst. Frontiers, 2009

Structure discovery in PPI networks using pattern-based network decomposition.
Bioinform., 2009

2008
A Cryptographic Approach to Securely Share and Query Genomic Sequences.
IEEE Trans. Inf. Technol. Biomed., 2008

Visualizing microarray Data for Biomarker Discovery by Matrix Reordering and Replicator Dynamics.
J. Bioinform. Comput. Biol., 2008

Spectral geometry for simultaneously clustering and ranking query search results.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

SYMBIOS: A Semantic Pervasive Services Platform for Biomedical Information Integration.
Proceedings of the Artificial Intelligence and Soft Computing, 2008

2007
Enhancing the Effectiveness of Clustering with Spectra Analysis.
IEEE Trans. Knowl. Data Eng., 2007

Dynamical Systems for Discovering Protein Complexes and Functional Modules from Biological Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2007

Biomarker Discovery and Visualization in gene Expression Data with Efficient Generalized Matrix Approximations.
J. Bioinform. Comput. Biol., 2007

Model Formulation: A Document Clustering and Ranking System for Exploring MEDLINE Citations.
J. Am. Medical Informatics Assoc., 2007

Modeling nonlinearity in dilution design microarray data.
Bioinform., 2007

BIRD: Biomedical Information Integration and Discovery with Semantic Web Services.
Proceedings of the Nature Inspired Problem-Solving Methods in Knowledge Engineering, 2007

2006
Text analysis of MEDLINE for discovering functional relationships among genes: evaluation of keyword extraction weighting schemes.
Int. J. Data Min. Bioinform., 2006

Oasis: A Mapping and Integration Framework for Biomedical Ontologies.
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

2005
Text Mining Biomedical Literature for Genomic Knowledge Discovery.
PhD thesis, 2005

Text Mining Biomedical Literature for Discovering Gene-to-Gene Relationships: A Comparative Study of Algorithms.
IEEE ACM Trans. Comput. Biol. Bioinform., 2005

Drug design by machine learning: ensemble learning for QSAR modeling.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Investigation into Biomedical Literature Classification Using Support Vector Machines.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference, 2005

Serum proteomic Pattern Analysis for Early cancer Detection.
Proceedings of the Advances in Bioinformatics and Its Applications, 2005

2004
Active Learning with Support Vector Machine Applied to Gene Expression Data for Cancer Classification.
J. Chem. Inf. Model., 2004

A Comparative Study on Feature Selection Methods for Drug Discovery.
J. Chem. Inf. Model., 2004

Text Mining Functional Keywords Associated with Genes.
Proceedings of the MEDINFO 2004, 2004

Comparison of Two Schemes for Automatic Keyword Extraction from MEDLINE for Functional Gene Clustering.
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004


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