Price, Nathan D.

Do genome-scale models need exact solvers or clearer standards?

Ebrahim, A., Almaas, E., Bauer, E., Bordbar, A., Burgard, A. P., Chang, R. L., Dräger, A., Famili, I., Feist, A. M., Fleming, R. M., et al. (2015) · Molecular Systems Biology

Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis

Cited by 57

Motor neuron loss and neuroinflammation in a model of α-synuclein-induced neurodegeneration

Sorrentino, Z. A., Xia, Y., Funk, C., Riffe, C. J., Rutherford, N. J., Ceballos Diaz, C., Sacino, A. N., Price, N. D., Golde, T. E., Giasson, B. I., et al. (2018) · Neurobiology of Disease

Parkinson's Disease Mechanisms and TreatmentsNeuroinflammation and Neurodegeneration Mechanisms

Cited by 54

Taking Systems Medicine to Heart

Trachana, K., Bargaje, R., Glusman, G., Price, N. D., Huang, S., & Hood, L. E. (2018) · Circulation Research

Bioinformatics and Genomic NetworksGene Regulatory Network Analysis

Cited by 41

Transparency in metabolic network reconstruction enables scalable biological discovery

Heavner, B. D., & Price, N. D. (2015) · Current Opinion in Biotechnology

Microbial Metabolic Engineering and BioproductionBioinformatics and Genomic Networks

Cited by 25

Genetic architecture of plasma Alzheimer disease biomarkers

Bradley, J., Gorijala, P., Schindler, S. E., Sung, Y. J., Ances, B., the Alzheimer’s Disease Neuroimaging Initiative, T. H. C. P., Ertekin-Taner, N., Younkin, S., Golde, T., Price, N., et al. (2023) · Human Molecular Genetics

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 20

Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data

Jo, T., Kim, J., Bice, P., Huynh, K., Wang, T., Arnold, M., Meikle, P. J., Giles, C., Kaddurah-Daouk, R., Saykin, A. J., et al. (2023) · eBioMedicine

Dementia and Cognitive Impairment ResearchMetabolomics and Mass Spectrometry Studies

Cited by 15