Cargando…
Classification and Biomarker Genes Selection for Cancer Gene Expression Data Using Random Forest
BACKGROUND & OBJECTIVE: Microarray and next generation sequencing (NGS) data are the important sources to find helpful molecular patterns. Also, the great number of gene expression data increases the challenge of how to identify the biomarkers associated with cancer. The random forest (RF) is us...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Iranian Society of Pathology
2017
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5844678/ https://www.ncbi.nlm.nih.gov/pubmed/29563929 |