A new sensitivity-preferred strategy to build prediction rules for therapy response of cancer patients using gene expression data.
Klaus JungMarian GradeJochen GaedckePeter JoLennart OpitzHeinz BeckerB. Michael GhadimiTim BeißbarthPublished in: Comput. Methods Programs Biomed. (2010)
Keyphrases
- gene expression data
- cancer patients
- cancer classification
- microarray
- gene expression
- clinical trials
- microarray data
- gene selection
- cancer diagnosis
- gene regulatory networks
- high dimensionality
- prediction accuracy
- feature selection
- data sets
- gene expression profiles
- high dimensional data
- high dimensional
- association rules
- clinical data
- feature space
- breast cancer
- decision support system
- random forest
- dimensionality reduction
- decision trees