Macklin, Derek N.

A Whole-Cell Computational Model Predicts Phenotype from Genotype

Karr, J. R., Sanghvi, J. C., Macklin, D. N., Gutschow, M. V., Jacobs, J. M., Bolival, B., Assad-Garcia, N., Glass, J. I., & Covert, M. W. (2012) · Cell

Gene Regulatory Network AnalysisMicrobial Metabolic Engineering and Bioproduction

Cited by 1,300

Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments

Van Valen, D. A., Kudo, T., Lane, K. M., Macklin, D. N., Quach, N. T., DeFelice, M. M., Maayan, I., Tanouchi, Y., Ashley, E. A., & Covert, M. W. (2016) · PLoS Computational Biology

Cell Image Analysis TechniquesAdvanced Neural Network Applications

Cited by 557

Simultaneous cross-evaluation of heterogeneous E. coli datasets via mechanistic simulation

Macklin, D. N., Ahn-Horst, T. A., Choi, H., Ruggero, N. A., Carrera, J., Mason, J. C., Sun, G., Agmon, E., DeFelice, M. M., Maayan, I., et al. (2020) · Science

Gene Regulatory Network AnalysisMicrobial Metabolic Engineering and Bioproduction

Cited by 151