RTNsurvival: an R/Bioconductor package for regulatory network survival analysis.
Clarice S. GroeneveldVinicius S. ChagasSteven J. M. JonesA. Gordon RobertsonBruce A. J. PonderKerstin B. MeyerMauro A. A. CastroPublished in: Bioinform. (2019)
Keyphrases
- survival analysis
- regulatory networks
- regression model
- breast cancer
- gene expression
- gene regulatory networks
- microarray
- gene expression data
- predictive modeling
- machine learning
- data mining methods
- data mining
- computational biology
- microarray data
- logistic regression
- evolutionary computing
- systems biology
- biological systems
- motif discovery
- protein protein interactions
- risk assessment
- biological data
- dimensionality reduction
- transcription factors
- knowledge discovery
- high throughput
- reverse engineering
- dna sequences
- databases
- data mining techniques
- preprocessing