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TSLRF: Two-Stage Algorithm Based on Least Angle Regression and Random Forest in genome-wide association studies
One of the most important tasks in genome-wide association analysis (GWAS) is the detection of single-nucleotide polymorphisms (SNPs) which are related to target traits. With the development of sequencing technology, traditional statistical methods are difficult to analyze the corresponding high-dim...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6889171/ https://www.ncbi.nlm.nih.gov/pubmed/31792302 http://dx.doi.org/10.1038/s41598-019-54519-x |