Taxonomic weighting improves the accuracy of a gap-filling algorithm for metabolic models.
Wai Kit OngPeter E. MidfordPeter D. KarpPublished in: Bioinform. (2020)
Keyphrases
- high accuracy
- probabilistic model
- learning algorithm
- computational efficiency
- computational cost
- experimental evaluation
- convergence rate
- improved algorithm
- computational complexity
- significant improvement
- preprocessing
- similarity measure
- optimal solution
- objective function
- np hard
- image inpainting
- tree structure
- weighting scheme
- model selection
- computationally efficient
- theoretical analysis
- segmentation algorithm
- exhaustive search
- computational speed
- window size
- processing speed
- induction algorithms
- learned models
- bayesian framework
- times faster
- parameter estimation
- expectation maximization
- graphical models
- simulated annealing
- worst case
- cost function
- search space
- image segmentation