Učitavanje...
Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests
BACKGROUND: Single-nucleotide polymorphisms (SNPs) selection and identification are the most important tasks in Genome-wide association data analysis. The problem is difficult because genome-wide association data is very high dimensional and a large portion of SNPs in the data is irrelevant to the d...
Spremljeno u:
| Izdano u: | BMC Genomics |
|---|---|
| Glavni autori: | , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
BioMed Central
2015
|
| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4331719/ https://ncbi.nlm.nih.gov/pubmed/25708662 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2164-16-S2-S5 |
| Oznake: |
Dodaj oznaku
Bez oznaka, Budi prvi tko označuje ovaj zapis!
|