The most probable annotation problem in HMMs and its application to bioinformatics
نویسندگان
چکیده
منابع مشابه
The most probable annotation problem in HMMs and its application to bioinformatics
Hidden Markov models (HMMs) are often used for biological sequence annotation. Each sequence feature is represented by a collection of states with the same label. In annotating a new sequence, we seek the sequence of labels that has highest probability. Computing this most probable annotation was shown NP-hard by Lyngsø and Pedersen [15]. We improve their result by showing that the problem is N...
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ژورنال
عنوان ژورنال: Journal of Computer and System Sciences
سال: 2007
ISSN: 0022-0000
DOI: 10.1016/j.jcss.2007.03.011