A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data.
Reinel Tabares-SotoSimon Orozco-AriasVictor Romero-CanoVanesa Segovia BucheliJosé Luis Rodríguez-SoteloCristian Felipe Jiménez-VarónPublished in: PeerJ Comput. Sci. (2020)
Keyphrases
- machine learning
- microarray gene expression data
- learning algorithm
- machine learning algorithms
- cancer classification
- gene expression data
- microarray data
- active learning
- machine learning methods
- gene selection
- microarray
- supervised learning
- computational biology
- decision trees
- random forest
- neural network
- deep architectures
- transfer learning
- reinforcement learning
- feature selection
- model selection
- statistical methods
- text classification
- support vector machine
- high dimensional
- data analysis
- pattern recognition
- training data