iUmami-SCM: A Novel Sequence-Based Predictor for Prediction and Analysis of Umami Peptides Using a Scoring Card Method with Propensity Scores of Dipeptides.
Phasit CharoenkwanJanchai YanaChanin NantasenamatMd. Mehedi HasanWatshara ShoombuatongPublished in: J. Chem. Inf. Model. (2020)
Keyphrases
- neural network
- dynamic programming
- significant improvement
- data analysis
- similarity measure
- preprocessing
- pairwise
- statistical analysis
- prediction accuracy
- fine grained
- computational complexity
- decision trees
- data sets
- high accuracy
- input data
- clustering method
- statistical significance
- prediction algorithm
- modular neural network