Nalaganje...
Applying stability selection to consistently estimate sparse principal components in high-dimensional molecular data
Motivation: Principal component analysis (PCA) is a basic tool often used in bioinformatics for visualization and dimension reduction. However, it is known that PCA may not consistently estimate the true direction of maximal variability in high-dimensional, low sample size settings, which are typica...
Shranjeno v:
| izdano v: | Bioinformatics |
|---|---|
| Main Authors: | , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Oxford University Press
2015
|
| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4528629/ https://ncbi.nlm.nih.gov/pubmed/25861969 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btv197 |
| Oznake: |
Označite
Brez oznak, prvi označite!
|