Discovery of perturbation gene targets via free text metadata mining in Gene Expression Omnibus.
Djordje DjordjevicJoshua Y. S. TangYun Xin ChenShu Lun Shannon KwanRaymond W. K. LingGordon QianChelsea Y. Y. WooSamuel J. EllisJoshua Wing Kei HoPublished in: Comput. Biol. Chem. (2019)
Keyphrases
- gene expression
- free text
- metadata
- microarray
- structured data
- gene expression data
- information extraction
- knowledge discovery
- natural language processing
- biological processes
- controlled vocabulary
- gene expression patterns
- data mining
- gene regulation
- microarray data
- gene expression profiles
- pattern discovery
- semi structured
- text mining
- regulatory networks
- databases
- differentially expressed genes
- gene expression analysis
- microarray gene
- high throughput
- microarray datasets
- gene selection
- dna microarray
- biological networks
- gene expression data sets
- gene products
- functional genomics
- association rules
- artificial intelligence
- database
- gene interactions
- protein interaction
- xml documents
- gene networks
- database systems
- saccharomyces cerevisiae