Max Gordon
College of Engineering
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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
[Review of ]. CURRENT OPINION IN PLANT BIOLOGY, 71.
co-author countries:
Denmark π©π° United States of America πΊπΈ
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), 1138β1152.
co-author countries:
Denmark π©π° Japan π―π΅ United States of America πΊπΈ
MeSH headings : Lotus / metabolism; Haplotypes / genetics; Freezing; Acclimatization / genetics; Adaptation, Physiological / genetics; Gene Expression Regulation, Plant
academic.oup.com (publisher PDF)
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.
co-author countries:
Belgium π§πͺ United States of America πΊπΈ
author keywords: gene regulatory network; network properties; network inference; machine learning; experimental methodologies
Sources: Web Of Science, Crossref, ORCID
Added: July 13, 2020
