vaRHC: an R package for semi-automation of variant classification in hereditary cancer genes according to ACMG/AMP and gene-specific ClinGen guidelines.
Elisabet MuntéLidia FeliubadalóMarta PinedaEva TorneroMaribel GonzálezJosé Marcos Moreno-CabreraCarla RocaJoan Bales RubioLaura ArnaldoGabriel CapelláJose Luis MosqueraConxi LázaroPublished in: Bioinform. (2023)
Keyphrases
- gene selection
- gene expression profiles
- cancer classification
- relevant genes
- colon cancer
- dna microarray
- cancer diagnosis
- gene expression data
- microarray data
- microarray
- gene expression
- gene expression datasets
- cancer datasets
- microarray datasets
- dna microarray data
- microarray gene
- informative genes
- expression profiles
- gene prediction
- gene expression analysis
- microarray gene expression data
- gene expression data sets
- microarray expression data
- candidate genes
- high throughput
- microarray analysis
- microarray data analysis
- feature selection
- microarray technology
- regulatory networks
- tissue samples
- differentially expressed genes
- gene networks
- selected genes
- ovarian cancer
- gene ontology
- feature ranking
- high dimensionality
- gene sets
- biomedical literature
- gene regulatory networks
- biological data
- gene clusters
- biologically meaningful
- biologically significant
- gene structure prediction
- gene function
- support vector machine svm