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2020 – today
- 2024
[j4]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): 720-726 (2024)- 2020
- [j3]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): 442 (2020)
2010 – 2019
- 2017
- [c13]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: 2235-2237 - 2015
- [c12]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: 1109-1116 - [c11]Sagar Patel, Padmapriya Swaminathan, Anne Fennell, Erliang Zeng:
De novo genome assembly tool comparison for highly heterozygous species Vitis vinifera cv. Sultanina. BIBM 2015: 1771-1773 - 2014
- [j2]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): 461-478 (2014) - 2013
- [c10]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: 1-2 - 2012
- [c9]Wei Zhang, Erliang Zeng, Dan Liu, Stuart E. Jones, Scott J. Emrich:
A machine learning framework for trait based genomics. ICCABS 2012: 1-6 - [c8]Dingding Wang, Mitsunori Ogihara, Erliang Zeng, Tao Li:
Combining Gene Expression Profiles and Protein-Protein Interactions for Identifying Functional Modules. ICMLA (1) 2012: 114-119 - 2010
- [j1]Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasimhan:
Clustering Genes Using Heterogeneous Data Sources. Int. J. Knowl. Discov. Bioinform. 1(2): 12-28 (2010) - [c7]Wei Zhang, Scott J. Emrich, Erliang Zeng:
A two-stage machine learning approach for pathway analysis. BIBM 2010: 274-279
2000 – 2009
- 2009
- [c6]Yi Zhang, Erliang Zeng, Tao Li, Giri Narasimhan:
Weighted Consensus Clustering for Identifying Functional Modules in Protein-Protein Interaction Networks. ICMLA 2009: 539-544 - 2008
- [c5]Erliang Zeng, Giri Narasimhan, Lisa Schneper, Kalai Mathee:
A Functional Network of Yeast Genes Using Gene Ontology Information. BIBM 2008: 343-346 - 2007
- [c4]Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasimhan:
On the Effectiveness of Constraints Sets in Clustering Genes. BIBE 2007: 79-86 - [c3]Erliang Zeng, Giri Narasimhan:
Enhancing Motif Refinement by Incorporating Comparative Genomics Data. ISBRA 2007: 329-337 - 2005
- [c2]Chengyong Yang, Erliang Zeng, Tao Li, Giri Narasimhan:
Clustering Genes Using Gene Expression and Text Literature Data. CSB 2005: 329-340 - [c1]Chengyong Yang, Erliang Zeng, Tao Li, Giri Narasimhan:
A Knowledge-Driven Method to Evaluate Multi-source Clustering. ISPA Workshops 2005: 196-202 - [p1]Chengyong Yang, Erliang Zeng, Kalai Mathee, Giri Narasimhan:
Querying a Database of regulatory Elements. Advances in Bioinformatics and Its Applications 2005
Coauthor Index
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