Sebastiano Busato

Works (2)

Updated: January 18th, 2025 05:01

2024 article

Global genotype by environment prediction competition reveals that diverse modeling strategies can deliver satisfactory maize yield estimates

Washburn, J. D., Varela, J. I., Xavier, A., Chen, Q., Ertl, D., Gage, J. L., … Leon, N. (2024, November 22). (M. Sillanpää, Ed.). Genetics, Vol. 12.

By: J. Washburn *, J. Varela *, A. Xavier *, Q. Chen n , D. Ertl *, J. Gage n , J. Holland n , D. Lima * ...

Ed(s): M. Sillanpää

author keywords: genotype by environment; prediction; competition; maize; yield; phenotype
MeSH headings : Zea mays / genetics; Gene-Environment Interaction; Plant Breeding / methods; Models, Genetic; Genotype; Phenotype; Machine Learning
topics (OpenAlex): Genetics and Plant Breeding; Crop Yield and Soil Fertility; Genetic and phenotypic traits in livestock
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: November 22, 2024

2022 article

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. (2022, December 18). Current Opinion in Plant Biology, Vol. 71.

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

author keywords: Machine learning; Deep learning; Plant-associated microbiome; Compositional data analysis
MeSH headings : Microbiota; Algorithms; Machine Learning; Plants
topics (OpenAlex): Gut microbiota and health; Gene expression and cancer classification; Genomics and Phylogenetic Studies
TL;DR: The analysis is expanded to other fields to quantify the degree to which mitigation approaches improve the performance of ML and describe the mathematical basis for this. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries, ORCID
Added: January 30, 2023

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