Combining Mutation and Gene Network Data in a Machine Learning Approach for False-Positive Cancer Driver Gene Discovery.
Jorge Francisco CutigiRenato Feijo EvangelistaRodrigo Henrique RamosCynthia de Oliveira Lage FerreiraAdriane Feijo EvangelistaAndré C. P. L. F. de CarvalhoAdenilso SimãoPublished in: BSB (2020)
Keyphrases
- false positives
- gene selection
- microarray
- false negative
- detection rate
- gene expression
- gene expression profiles
- gene expression data
- dna microarray
- false positive rate
- gene ontology
- cancer classification
- evolutionary algorithm
- microarray data
- number of false positives
- data sets
- gene expression datasets
- gene networks
- cancer diagnosis
- low false positive rate
- true positive
- colon cancer
- candidate genes
- differential evolution
- multi class
- gene expression patterns
- gene clusters