Cranos Williams

Professor

Publications

Advancing sweetpotato quality assessment with hyperspectral imaging and explainable artificial intelligence
Ahmed, T., Wijewardane, N. K., Lu, Y., Jones, D. S., Kudenov, M., Williams, C., … Kamruzzaman, M. (2024), COMPUTERS AND ELECTRONICS IN AGRICULTURE, 220. https://doi.org/10.1016/j.compag.2024.108855
Dynamics of BMP signaling and stable gene expression in the early Drosophila embryo
Al Asafen, H., Beseli, A., Chen, H.-Y., Hiremath, S., Williams, C. M., & Reeves, G. T. (2024), BIOLOGY OPEN, 13(9). https://doi.org/10.1242/bio.061646
Evaluating two high-throughput phenotyping platforms at early stages of the post-harvest pipeline of sweetpotatoes
Martinez, E. E. P., Kudenov, M., Nguyen, H., Jones, D. S., & Williams, C. (2024), SMART AGRICULTURAL TECHNOLOGY, 8. https://doi.org/10.1016/j.atech.2024.100469
Predicting sweetpotato traits using machine learning: Impact of environmental and agronomic factors on shape and size
Liu, H., Hunt, S., Yencho, G. C., Pecota, K. V., Mierop, R., Williams, C. M., & Jones, D. S. (2024), COMPUTERS AND ELECTRONICS IN AGRICULTURE, 225. https://doi.org/10.1016/j.compag.2024.109215
Spatiotemporal dynamics of NF-κB/Dorsal inhibitor IκBα/Cactus inDrosophilablastoderm embryos
Schloop, A. E., Hiremath, S., Shaikh, R., Williams, C. M., & Reeves, G. T. (2024, February 27). , . https://doi.org/10.1101/2024.02.23.581825
The Black American experience: Answering the global challenge of broadening participation in STEM/agriculture
Haverroth, E., Gobble, M., Bradley, L., Harris-Gilliam, K., Fischer, A., Williams, C., … Sozzani, R. (2024, January 29), PLANT CELL, Vol. 1. https://doi.org/10.1093/plcell/koae002
Cellular clarity: a logistic regression approach to identify root epidermal regulators of iron deficiency response
Schmittling, S. R., Muhammad, D., Haque, S., Long, T. A., & Williams, C. M. (2023), BMC GENOMICS, 24(1). https://doi.org/10.1186/s12864-023-09714-6
Multiplex CRISPR editing of wood for sustainable fiber production
Sulis, D. B., Jiang, X., Yang, C., Marques, B. M., Matthews, M. L., Miller, Z., … Wang, J. P. (2023), SCIENCE, 381(6654), 216-+. https://doi.org/10.1126/science.add4514
Compositionality, sparsity, spurious heterogeneity, and other data-driven challenges for machine learning algorithms within plant microbiome studies
Busato, S., Gordon, M., Chaudhari, M., Jensen, I., Akyol, T., Andersen, S., & Williams, C. (2023). [Review of , ]. CURRENT OPINION IN PLANT BIOLOGY, 71. https://doi.org/10.1016/j.pbi.2022.102326
Dynamics of BMP signaling in the earlyDrosophilaembryo
Asafen, H. Y. A., Beseli, A., Hiremath, S., Williams, C. M., & Reeves, G. T. (2022, October 21). , . https://doi.org/10.1101/2022.10.20.513072

View all publications via NC State Libraries

Cranos Williams