Prediction of a gene regulatory network linked to prostate cancer from gene expression, microRNA and clinical data.
Eric BonnetTom MichoelYves Van de PeerPublished in: Bioinform. (2010)
Keyphrases
- gene expression
- clinical data
- prostate cancer
- gene expression data
- gene regulation
- gene regulatory networks
- cancer patients
- mr images
- gene interactions
- binding sites
- survival data
- microarray
- biological processes
- regulatory networks
- cancer classification
- medical data
- gene networks
- microarray data
- gene expression patterns
- statistical analysis
- computer aided
- systems biology
- network model
- raw data
- data sets
- gene selection
- reverse engineering
- medical images
- transcription factors
- medical image analysis
- domain experts
- saccharomyces cerevisiae
- magnetic resonance images
- treatment plan
- radiation therapy
- knowledge discovery
- biological data
- bayesian inference
- microarray datasets
- gene expression profiles
- high dimensionality
- domain knowledge
- neural network
- computational methods
- high throughput
- data sources
- transcription factor binding sites
- gene sets
- image data
- high dimensional
- machine learning