Feature Selection for Evaluating Fluorescence Microscopy Images in Genome-Wide Cell Screens.
Vassili KovalevNathalie HarderBeate NeumannMichael HeldUrban LiebelHolger ErfleJan EllenbergRoland EilsKarl RohrPublished in: CVPR (1) (2006)
Keyphrases
- fluorescence microscopy images
- genome wide
- feature selection
- high throughput
- visual inspection
- human genome
- text categorization
- cell nuclei
- biological data
- feature space
- feature extraction
- mutual information
- feature set
- dimensionality reduction
- text classification
- systems biology
- microarray
- feature subset
- high dimensionality
- gene expression
- data sets
- data collection
- support vector machine
- machine learning