Max Gordon

Busato, S., Gordon, M., Chaudhari, M., Jensen, I., Akyol, T., Andersen, S., & Williams, C. (2023). [Review of Compositionality, sparsity, spurious heterogeneity, and other data-driven challenges for machine learning algorithms within plant microbiome studies]. CURRENT OPINION IN PLANT BIOLOGY, 71. https://doi.org/10.1016/j.pbi.2022.102326

Mustamin, Y., Akyol, T. Y., Gordon, M., Manggabarani, A. M., Isomura, Y., Kawamura, Y., … Sato, S. (2023). FER and LecRK show haplotype-dependent cold-responsiveness and mediate freezing tolerance in Lotus japonicus. PLANT PHYSIOLOGY, 191(2), 1138–1152. https://doi.org/10.1093/plphys/kiac533

Van den Broeck, L., Gordon, M., Inzé, D., Williams, C., & Sozzani, R. (2020). Gene Regulatory Network Inference: Connecting Plant Biology and Mathematical Modeling. Frontiers in Genetics, 11. https://doi.org/10.3389/fgene.2020.00457