CuMiDa: An Extensively Curated Microarray Database for Benchmarking and Testing of Machine Learning Approaches in Cancer Research.
Bruno César FeltesLaure ChandelierBruno Iochins GrisciMárcio DornPublished in: J. Comput. Biol. (2019)
Keyphrases
- microarray
- machine learning approaches
- gene selection
- gene expression
- gene expression profiles
- dna microarray
- high throughput
- cancer classification
- gene expression data
- gene expression data sets
- microarray data
- cancer diagnosis
- gene expression profiling
- colon cancer
- microarray technology
- machine learning methods
- gene ontology
- gene expression data analysis
- databases
- tissue samples
- molecular biology
- gene expression microarray data
- machine learning algorithms
- gene expression analysis
- machine learning
- gene expression datasets
- cancer datasets
- high dimensionality
- ovarian cancer
- gene networks
- microarray data analysis
- microarray datasets
- data mining methods
- experimental conditions
- data sets
- microarray images
- feature selection
- gene sets
- genome wide
- random forest
- breast cancer
- related genes
- regulatory networks
- differential expression