College of Agricultural Sciences

E. H. Burrows, Wong, W. - K., Fern, X., Chaplen, F. W. R., and Ely, R. L., “Optimization of pH and nitrogen for enhanced hydrogen production by Synechocystis sp. PCC 6803 via statistical and machine learning methods.”, Biotechnol Prog, vol. 25, no. 4, pp. 1009-17, 2009.

J. E. McDermott, Costa, M., Janszen, D., Singhal, M., and Tilton, S. C., “Separating the drivers from the driven: Integrative network and pathway approaches aid identification of disease biomarkers from high-throughput data.”, Dis Markers, vol. 28, no. 4, pp. 253-66, 2010.

S. C. Tilton, Tal, T. L., Scroggins, S. M., Franzosa, J. A., Peterson, E. S., Tanguay, R. L., and Waters, K. M., “Bioinformatics Resource Manager v2.3: an integrated software environment for systems biology with microRNA and cross-species analysis tools.”, BMC Bioinformatics, vol. 13, p. 311, 2012.

S. Naithani, Preece, J., D’Eustachio, P., Gupta, P., Amarasinghe, V., Dharmawardhana, P. D., Wu, G., Fabregat, A., Elser, J. L., Weiser, J., Keays, M., Fuentes, A. Munoz- Pome, Petryszak, R., Stein, L. D., Ware, D., and Jaiswal, P., “Plant Reactome: a resource for plant pathways and comparative analysis.”, Nucleic acids research, vol. 45, pp. D1029-D1039, 2018.