On the identification of predictive biomarkers: Detecting treatment-by-gene interaction in high-dimensional data.
Wiebke WerftAxel BennerAnnette Kopp-SchneiderPublished in: Comput. Stat. Data Anal. (2012)
Keyphrases
- high dimensional data
- gene expression data
- low dimensional
- high dimensionality
- gene expression profiles
- high dimensional
- biologically meaningful
- nearest neighbor
- dimensionality reduction
- mass spectrometry
- high dimensions
- dimension reduction
- data analysis
- data sets
- data points
- original data
- subspace clustering
- clustering high dimensional data
- gene expression
- disease progression
- high dimensional spaces
- high dimensional data sets
- similarity search
- linear discriminant analysis
- candidate genes
- nonlinear dimensionality reduction
- variable selection
- dimensional data
- input space
- microarray
- manifold learning
- small sample size
- gene sets
- text data
- feature selection
- high dimensional datasets
- breast cancer