An introduction to artificial neural networks in bioinformatics - application to complex microarray and mass spectrometry datasets in cancer studies.
Lee LancashireChristophe LemetreGraham R. BallPublished in: Briefings Bioinform. (2009)
Keyphrases
- microarray
- high throughput
- ovarian cancer
- mass spectrometry
- gene expression profiles
- gene selection
- gene expression datasets
- microarray technology
- cancer classification
- mass spectrometry data
- gene expression
- systems biology
- biological data
- gene expression data
- proteomic data
- experimental conditions
- microarray data
- cancer diagnosis
- gene expression analysis
- molecular biology
- gene expression microarray data
- microarray datasets
- microarray data analysis
- early detection
- cancer datasets
- colon cancer
- gene expression profiling
- genome wide
- high dimensionality
- dna microarray
- gene expression data sets
- related genes
- gene ontology
- drug discovery
- mass spectra
- tissue samples
- data sets
- machine learning
- gene networks
- biological processes
- biological networks
- gene regulatory networks
- computational biology
- data analysis
- image processing