Graph based fusion of miRNA and mRNA expression data improves clinical outcome prediction in prostate cancer.
Stephan GadeChristine PorzeliusMaria FälthJan C. BraseDaniela WuttigRuprecht KunerHarald BinderHolger SültmannTim BeißbarthPublished in: BMC Bioinform. (2011)
Keyphrases
- prostate cancer
- outcome prediction
- regulatory networks
- genome wide
- genomic data
- gene function
- gene ontology
- high throughput
- gene expression
- binding sites
- protein protein interactions
- gene expression data
- microarray data
- expression profiles
- microarray
- transcription factors
- computer aided
- mr images
- breast cancer
- image guided
- biological data
- computational methods
- medical image analysis
- gene regulatory networks
- secondary structure
- radiation therapy
- systems biology
- biological processes
- data sets
- dna sequences
- component analysis
- protein protein interaction networks
- cell cycle
- statistical analysis
- machine learning
- treatment planning
- gene sets
- mass spectrometry
- sequence data
- reverse engineering
- semantic similarity