Namsrai O E, Jung K S, Kim S, Ryu K H. RNA secondary structure prediction with simple pseudoknots based on dynamic programming. In: International Conference on Intelligent Computing, Computational Intelligence and Bioinformatics, 2006: 303-311....
testStructure();//printf("MAX(3, 5) = %d\n", MAX(3, 5));return0; } 实现自《Algorithm Design》 6.5 RNA Secondary Structure: Dynamic Programming over Intervals
RNA二级结构预测--动态规划法
“A new method of RNA secondary structure prediction based on convolutional neural network and dynamic programming”;基于深度学习的预测算法,如“ATTfold: RNA Secondary Structure Prediction With Pseudoknots Based on Attention Mechanism”、“Deep Learning Method for RNA Secondary Structure Prediction with ...
RNA secondary structurecomputational biologystochastic context-free grammars (SCFGssensitivitypositive predictive valueIJCSIThe identification of RNA secondary structures has been among the most exciting recent developments in biology and medical science. Prediction of RNA secondary structure is a fundamental ...
H. et al. Incorporating chemical modification constraints into a dynamic programming algorithm for prediction of RNA secondary structure. Proc. Natl Acad. Sci. USA 101, 7287–7292 (2004). Article CAS PubMed PubMed Central Google Scholar Peattie, D. A. Direct chemical method for sequencing ...
Methods for RNA secondary structure prediction generally fall into two categories. Thermodynamic models make use of free-energy functions, which take experimentally determined energy parameters for individual structural elements. Dynamic programming is then used to find the secondary structure with the minimu...
RNA secondary structurefuzzy modelfuzzy dynamic programmingWe propose a novel model to predict RNA secondary structure based on the fuzzy sets theory. Through the fuzzy partition of state spaces and the incorporation of fuzzy goals, we can find the optimal fuzzy policy of the model using fuzzy ...
Dynamic programming A method for solving complex problems by breaking them down into simpler 'sub-problems'. This method is used by most RNA structure-prediction algorithms to efficiently scan the entire landscape of possible secondary structures. Stochastic context-free grammars (SCFGs). Mathematical ...
We describe a dynamic programming algorithm for predicting optimal RNA secondary structure, including pseudoknots. The algorithm has a worst case complexity of ja:math ( N 6 ) in time and ja:math ( N 4 ) in storage. The description of the algorithm is complex, which led us to adopt a us...