An adaptive feature reduction algorithm for cancer classification using wavelet decomposition of serum proteomic and DNA microarray data.
Sabrina RashidGolam Morshed MarufPublished in: BIBM Workshops (2011)
Keyphrases
- dna microarray data
- wavelet decomposition
- cancer classification
- gene selection
- cancer diagnosis
- mass spectrometry data
- microarray data
- gene expression data
- microarray
- feature vectors
- multiresolution
- relevant genes
- wavelet transform
- dna microarray
- subband
- multiscale
- high throughput
- wavelet domain
- random forest
- gene expression
- high frequency
- wavelet coefficients
- feature selection
- feature ranking
- gene expression profiles
- sar images
- biologically relevant
- feature set
- data sets
- image compression
- microarray datasets
- image features
- machine learning
- gene sets
- high dimensional
- high dimensionality
- mass spectrometry