- Article
Comparison of Machine Learning Methods for Marker Identification in GWAS
- Weverton Gomes da Costa,
- Hélcio Duarte Pereira,
- Gabi Nunes Silva,
- Aluizio Borém,
- Eveline Teixeira Caixeta,
- Antonio Carlos Baião de Oliveira,
- Cosme Damião Cruz and
- Moyses Nascimento
Genome-wide association studies (GWAS) are essential for identifying genomic regions associated with agronomic traits, but Linear Mixed Model (LMM)-based GWAS face challenges in capturing complex gene interactions. This study explores the potential o...

