An expectation-maximization framework for comprehensive prediction of isoform-specific functions.
Guy KarlebachLeigh CarmodyJagadish Chandrabose SundaramurthiElena CasiraghiPeter HansenJustin T. ReeseChristopher J. MungallGiorgio ValentiniPeter N. RobinsonPublished in: Bioinform. (2023)
Keyphrases
- expectation maximization
- main contribution
- information systems
- mixture model
- generative model
- information retrieval
- prediction error
- bayesian framework
- maximum likelihood estimation
- data sets
- theoretical framework
- prediction accuracy
- higher level
- em algorithm
- maximum likelihood
- domain specific
- probabilistic model
- expert systems
- database systems
- case study
- real world