Results 51 to 60 of about 82 (75)

Identifying novel sequence variants of RNA 3D motifs. [PDF]

Nucleic Acids Res, 2015
Zirbel CL, Roll J, Sweeney BA, Petrov AI, Pirrung M, Leontis NB.   +5 more
europepmc   +1 more source

Hidden Markov Models and their Applications in Biological Sequence Analysis. [PDF]

Curr Genomics, 2009
Yoon BJ.
europepmc   +1 more source

A range of complex probabilistic models for RNA secondary structure prediction that includes the nearest-neighbor model and more. [PDF]

RNA, 2012
Rivas E, Lang R, Eddy SR.
europepmc   +1 more source

ViennaRNA Package 2.0. [PDF]

Algorithms Mol Biol, 2011
Lorenz R, Bernhart SH, Höner Zu Siederdissen C, Tafer H, Flamm C, Stadler PF, Hofacker IL.   +6 more
europepmc   +1 more source

Efficient alignment of RNAs with pseudoknots using sequence alignment constraints.

EURASIP J Bioinform Syst Biol, 2009
Yoon BJ.
europepmc   +1 more source

Indonesian Parsing using Probabilistic Context-Free Grammar (PCFG) and Viterbi-Cocke Younger Kasami (Viterbi-CYK)

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), 2020
Parsing is a tool for understanding natural grammar patterns. The problem of structural ambiguity in identifying sentence patterns often occurs in parsing. Syntactic parsing is one approach to solving structural ambiguity problems using the Probabilistic Context-Free Grammar (PCFG) and Viterbi-Cocke Younger Kasami (Viterbi-CYK) methods.
Denis Eka Cahyani, Langlang Gumilar
exaly   +3 more sources

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Syntactical Parsing of Kannada Text Based on CYK Algorithm

Advances in Intelligent Systems and Computing, 2022
B R Shambhavi
exaly  

An improved version of the Cocke-Younger-Kasami algorithm

Computer Languages, Systems and Structures, 1978
Glenn K Manacher
exaly  

Certified CYK parsing of context-free languages

Journal of Logical and Algebraic Methods in Programming, 2014
Denis Firsov, Tarmo Uustalu
exaly