Statistically significant subgraphs for genome-wide association study.
Jun SeseAika TeradaYuki SaitoKoji TsudaPublished in: SSDM@ECML/PKDD (2014)
Keyphrases
- statistically significant
- genome wide association studies
- genome wide
- attitudes toward
- learning styles
- control group
- statistical significance
- pearson correlation
- graph mining
- statistical tests
- high throughput
- data sets
- computer assisted instruction
- post treatment
- biological data
- statistical models
- data collection
- support vector
- social networks
- machine learning