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Filtering by: Creator Isaacs, Rufus Academic Affiliation Chemical, Biological and Environmental Engineering

Classifying the toxicity of pesticides to honey bees via support vector machines with random walk graph kernels

Creator:

Yang, Ping

Abstract:

Pesticides benefit agriculture by increasing crop yield, quality, and security. However, pesticides may inadvertently harm bees, which are valuable as pollinators. Thus, candidate pesticides in development pipelines must be assessed for toxicity to bees. Leveraging a data set of 382 molecules with toxicity labels from honey bee exposure experiments, we...

Resource Type:

Masters Thesis