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Douglas J. Demetrick
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2010 – 2019
- 2014
- [j5]Shang Gao, Ibrahim Karakira, Salim Afra, Ghada Naji, Reda Alhajj, Jia Zeng, Douglas J. Demetrick:
Evaluating predictive performance of network biomarkers with network structures. J. Bioinform. Comput. Biol. 12(5) (2014) - 2013
- [j4]Shang Gao, Alan Chia-Lung Chen, Ali Rahmani, Tamer N. Jarada, Reda Alhajj, Douglas J. Demetrick, Jia Zeng:
MCF: A tool to find multi-scale community profiles in biological networks. Comput. Methods Programs Biomed. 112(3): 665-672 (2013) - [j3]Utku Erdogdu, Mehmet Tan
, Reda Alhajj, Faruk Polat, Jon G. Rokne, Douglas J. Demetrick:
Integrating machine learning techniques into robust data enrichment approach and its application to gene expression data. Int. J. Data Min. Bioinform. 8(3): 247-281 (2013) - 2011
- [c2]Utku Erdogdu, Mehmet Tan
Employing Machine Learning Techniques for Data Enrichment: Increasing the Number of Samples for Effective Gene Expression Data Analysis. BIBM 2011: 238-242 - [p1]Ghada Naji, Mohamad Nagi, Abdallah M. ElSheikh, Shang Gao, Keivan Kianmehr, Tansel Özyer, Jon G. Rokne, Douglas J. Demetrick, Mick J. Ridley, Reda Alhajj:
Effectiveness of Social Networks for Studying Biological Agents and Identifying Cancer Biomarkers. Counterterrorism and Open Source Intelligence 2011: 285-313
2000 – 2009
- 2009
- [j2]Jia Zeng, Reda Alhajj, Douglas J. Demetrick:
Adaptive multi-agent architecture for functional sequence motifs recognition. Bioinform. 25(23): 3084-3092 (2009) - [j1]Jia Zeng, Reda Alhajj, Douglas J. Demetrick:
Representative transcript sets for evaluating a translational initiation sites predictor. BMC Bioinform. 10 (2009) - 2008
- [c1]Jia Zeng, Reda Alhajj, Douglas J. Demetrick:
Effectiveness of Applying Codon Usage Bias for Translational Initiation Sites Prediction. BIBM 2008: 121-126
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