Erliang Zeng

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 3

Top Topics

Computational Framework

Prediction Accuracy

Genomic Sequences

Top Venues

J. Am. Medical Informatics Assoc.

Int. J. Bioinform. Res. Appl.

Publications

Heath A. Davis, Donna A. Santillan, Chris E. Ortman, Asher A. Hoberg, Joseph P. Hetrick, Charles W. McBrearty, Erliang Zeng, Mary S. Vaughan Sarrazin, Karen Dunn Lopez, Cole G. Chapman, Ryan M. Carnahan, Jacob J. Michaelson, Boyd M. Knosp
The Iowa Health Data Resource (IHDR): an innovative framework for transforming the clinical health data ecosystem. J. Am. Medical Informatics Assoc. 31 (3) (2024)
Pasan C. Fernando, Paula M. Mabee, Erliang Zeng
Integration of anatomy ontology data with protein-protein interaction networks improves the candidate gene prediction accuracy for anatomical entities. BMC Bioinform. 21 (1) (2020)
Pasan C. Fernando, Laura M. Jackson, Erliang Zeng, Paula M. Mabee, James P. Balhoff
A generic bioinformatics pipeline to integrate large-scale trait data with large phylogenies. BIBM (2017)
Erliang Zeng, Wei Zhang, Scott J. Emrich, Dan Liu, Joshua Livermore, Stuart E. Jones
A computational framework for integrative analysis of large microbial genomics data. BIBM (2015)
Sagar Patel, Padmapriya Swaminathan, Anne Fennell, Erliang Zeng
De novo genome assembly tool comparison for highly heterozygous species Vitis vinifera cv. Sultanina. BIBM (2015)
Wei Zhang, Erliang Zeng, Dan Liu, Stuart E. Jones, Scott J. Emrich
Mapping genomic features to functional traits through microbial whole genome sequences. Int. J. Bioinform. Res. Appl. 10 (4/5) (2014)
Wei Zhang, Erliang Zeng, Scott J. Emrich, Joshua Livermore, Dan Liu, Stuart E. Jones
Predicting bacterial functional traits from whole genome sequences using random forest. ICCABS (2013)
Wei Zhang, Erliang Zeng, Dan Liu, Stuart E. Jones, Scott J. Emrich
A machine learning framework for trait based genomics. ICCABS (2012)
Dingding Wang, Mitsunori Ogihara, Erliang Zeng, Tao Li
Combining Gene Expression Profiles and Protein-Protein Interactions for Identifying Functional Modules. ICMLA (1) (2012)
Wei Zhang, Scott J. Emrich, Erliang Zeng
A two-stage machine learning approach for pathway analysis. BIBM (2010)
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasimhan
Clustering Genes Using Heterogeneous Data Sources. Int. J. Knowl. Discov. Bioinform. 1 (2) (2010)
Yi Zhang, Erliang Zeng, Tao Li, Giri Narasimhan
Weighted Consensus Clustering for Identifying Functional Modules in Protein-Protein Interaction Networks. ICMLA (2009)
Erliang Zeng, Giri Narasimhan, Lisa Schneper, Kalai Mathee
A Functional Network of Yeast Genes Using Gene Ontology Information. BIBM (2008)
Erliang Zeng, Giri Narasimhan
Enhancing Motif Refinement by Incorporating Comparative Genomics Data. ISBRA (2007)
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasimhan
On the Effectiveness of Constraints Sets in Clustering Genes. BIBE (2007)
Chengyong Yang, Erliang Zeng, Tao Li, Giri Narasimhan
A Knowledge-Driven Method to Evaluate Multi-source Clustering. ISPA Workshops (2005)
Chengyong Yang, Erliang Zeng, Tao Li, Giri Narasimhan
Clustering Genes Using Gene Expression and Text Literature Data. CSB (2005)