Max Gordon

College of Engineering

Works (3)

Updated: August 11th, 2023 05:00

2023 review

Compositionality, sparsity, spurious heterogeneity, and other data-driven challenges for machine learning algorithms within plant microbiome studies


By: S. Busato n, M. Gordon n, M. Chaudhari n, I. Jensen *, T. Akyol*, S. Andersen*, C. Williams n 

co-author countries: Denmark πŸ‡©πŸ‡° United States of America πŸ‡ΊπŸ‡Έ
author keywords: Machine learning; Deep learning; Plant-associated microbiome; Compositional data analysis
MeSH headings : Microbiota; Algorithms; Machine Learning; Plants
Sources: Web Of Science, ORCID
Added: January 30, 2023

2023 journal article

FER and LecRK show haplotype-dependent cold-responsiveness and mediate freezing tolerance in Lotus japonicus

PLANT PHYSIOLOGY, 191(2), 1138–1152.

co-author countries: Denmark πŸ‡©πŸ‡° Japan πŸ‡―πŸ‡΅ United States of America πŸ‡ΊπŸ‡Έ
MeSH headings : Lotus / metabolism; Haplotypes / genetics; Freezing; Acclimatization / genetics; Adaptation, Physiological / genetics; Gene Expression Regulation, Plant
Sources: Web Of Science, ORCID
Added: February 21, 2023

2020 journal article

Gene Regulatory Network Inference: Connecting Plant Biology and Mathematical Modeling

Frontiers in Genetics, 11.

By: L. Van den Broeck n , M. Gordon n, D. Inzé *, C. Williams n  & R. Sozzani  n

co-author countries: Belgium πŸ‡§πŸ‡ͺ United States of America πŸ‡ΊπŸ‡Έ
author keywords: gene regulatory network; network properties; network inference; machine learning; experimental methodologies
Sources: Web Of Science, Crossref, ORCID
Added: July 13, 2020