Moses Obiri

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PNNL Publications

Degnan D.J., C.W. Strauch, M.Y. Obiri, E.D. VonKaenel, G. Kim, J. Kershaw, and D.L. Novelli, et al. 2024. "Protein-Protein Interaction Networks Derived from Classical and Machine Learning-Based Natural Language Processing Tools." Journal of Proteome Research 23, no. 12:5395-5404. PNNL-SA-199871. doi:10.1021/acs.jproteome.4c00535
Oostrom M.T., M. Muniak, R.M. Eichler West, S.M. Akers, P. Pande, M.Y. Obiri, and W. Wang, et al. 2024. "Fine-tuning TrailMap: The utility of transfer learning to improve the performance of deep learning in axon segmentation of light-sheet microscopy images." PLoS One 19, no. 3:Art. No. e0293856. PNNL-SA-190650. doi:10.1371/journal.pone.0293856

Bunn A.L., K.A. Wagner, D.K. Fagan, H. Gadey, T.A. Ikenberry, K.E. Markham, and M.Y. Obiri. 2022. Drones for Decommissioning. PNNL-32519 Rev. 1. Richland, WA: Pacific Northwest National Laboratory. Drones for Decommissioning
Oostrom M.T., R.M. Eichler West, M.Y. Obiri, M. Muniak, P. Pande, S.M. Akers, and T. Mao, et al. 2022. Data-driven Mapping of the Mouse Connectome: The utility of transfer learning to improve the performance of deep learning models performing axon segmentation on light-sheet microscopy images. PNNL-33353. Richland, WA: Pacific Northwest National Laboratory. Data-driven Mapping of the Mouse Connectome: The utility of transfer learning to improve the performance of deep learning models performing axon segmentation on light-sheet microscopy images