Classification Performance of Multinomial Logistic Regression for Identifying Resistance, Resilience, and Susceptibility to Gastrointestinal Nematode Infections in Sheep

Author(s)

Freitas, Luara ; Savegnago, Rodrigo ; Carvalho Alves, Anderson A. ; Costa, Ricardo ; Rosa, Guilherme J. J. M. ; Paz, Claudia

• Document type: Journal article
• Source: JOURNAL OF ANIMAL SCIENCE; v. 100, p. 1-pg., 2022-09-22.
• FAPESP's process: 16/14522-7 - Genomic studies associated with resistance to endoparasites traits in Santa Inês sheep
• Grantee: Claudia Cristina Paro de Paz
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 18/01540-2 - Prediction of genomic values using Bayesian models and neural networks for endoparasite resistance traits in Santa Inês sheep
• Grantee: Luara Afonso de Freitas Januário
• Support Opportunities: Scholarships in Brazil - Doctorate
• FAPESP's process: 20/03575-8 - Machine learning for predictive analysis in Santa Inês sheep: an example of application to predict resistant, resilient and susceptible animals
• Grantee: Luara Afonso de Freitas Januário
• Support Opportunities: Scholarships abroad - Research Internship - Doctorate