Accounting for noise when clustering biological data.
Roman SloutskyNicolas JimenezS. Joshua SwamidassKristen M. NaeglePublished in: Briefings Bioinform. (2013)
Keyphrases
- biological data
- high throughput
- molecular biology
- clustering algorithm
- data analysis
- statistical methods
- systems biology
- k means
- microarray data
- data integration
- huge volume of data
- clustering method
- biological networks
- knowledge discovery
- data sources
- input data
- biological sequences
- gene regulatory networks
- cluster analysis
- real time
- protein protein interactions
- database
- high dimensionality
- semi supervised
- data model
- data warehouse
- case study
- high dimensional data
- biological information
- unsupervised learning