ISoLDE: a data-driven statistical method for the inference of allelic imbalance in datasets with reciprocal crosses.
Christelle ReynèsGuilhem KisterMarine RohmerTristan BouschetAnnie VarraultEmeric DuboisStéphanie RialleLaurent JournotRobert SabatierPublished in: Bioinform. (2020)
Keyphrases
- data driven
- statistical information
- statistical model
- experimental evaluation
- similarity measure
- benchmark data sets
- high precision
- pairwise
- objective function
- computational cost
- high accuracy
- mutual information
- cost function
- significant improvement
- em algorithm
- computationally efficient
- synthetic and real datasets
- clustering method
- test data
- preprocessing
- inference mechanism
- neural network
- support vector machine svm
- input data