Uncovering the prognostic gene signatures for the improvement of risk stratification in cancers by using deep learning algorithm coupled with wavelet transform.
Yiru ZhaoYifan ZhouYuan LiuYinyi HaoMenglong LiXuemei PuChuan LiZhining WenPublished in: BMC Bioinform. (2020)
Keyphrases
- wavelet transform
- learning algorithm
- breast cancer
- gene selection
- gene expression profiles
- image coding
- image compression
- multiresolution
- gene expression data
- microarray
- microarray datasets
- multiscale
- gene expression
- subband
- machine learning algorithms
- cancer diagnosis
- machine learning
- active learning
- wavelet analysis
- risk assessment
- cancer classification
- reinforcement learning
- risk management
- cell lines
- deep learning
- feature extraction
- training data
- risk factors
- gene ontology
- microarray data
- image processing
- feature selection
- translation invariant
- decision support system
- data sets
- wavelet bases
- ovarian cancer
- haar wavelet
- back propagation