Autoencoders as Weight Initialization of Deep Classification Networks for Cancer versus Cancer Studies.
Mafalda Falcao FerreiraRui CamachoLuís Filipe TeixeiraPublished in: CoRR (2020)
Keyphrases
- cancer diagnosis
- gene expression profiles
- colon cancer
- outcome prediction
- breast cancer
- cancer datasets
- cancer classification
- ovarian cancer
- gene selection
- dna microarray
- denoising
- prostate cancer
- pattern recognition
- decision trees
- early detection
- gene expression
- lung cancer
- support vector machine
- classification accuracy
- feature weights
- tissue samples
- clinical diagnosis
- cancer detection
- microarray
- support vector machine svm
- text classification
- image classification
- support vector
- machine learning
- data sets
- classification models
- microarray data
- unsupervised learning
- magnetic resonance spectroscopy
- copy number
- cell lines
- survival prediction
- bladder cancer
- restricted boltzmann machine
- deep learning
- high throughput
- classification algorithm
- supervised learning
- feature space
- feature extraction
- neural network