Hidden Markov Models in Bioinformatics
Citations
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Cites methods from "Hidden Markov Models in Bioinformat..."
...The program collects ribosomal sequences from short reads by using a HiddenMarkov Models (HMM)-based reconstruction algorithm (De Fonzo et al., 2007)....
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179 citations
Cites methods from "Hidden Markov Models in Bioinformat..."
...3 Two-stage Markov Model Training Mendel HMM toolbox of Matlab is used for the training of two-stage Markov model [50]....
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...These values are predicted with the help of viterbi algorithm of the proposed cybersecurity framework [50]....
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153 citations
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Cites background from "Hidden Markov Models in Bioinformat..."
...Hence, the Markov chain, constituting the true sequence Y , is hidden and the name for this type of model is hidden Markov model (HMM) [8], [9]....
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119 citations
Cites methods from "Hidden Markov Models in Bioinformat..."
...Within the bioscience field, for example, the model is ideal for gene prediction—where each state emits random DNA strings of random length, which are observable as a means to determine the gene producing them [10]—and in protein structure prediction and genetic mapping [11]....
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References
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"Hidden Markov Models in Bioinformat..." refers methods in this paper
...A special kind of enhancement of MEMMs, are the so-called Conditional Random Fields (CRFs) [61], introduced by Lafferty et al. [ 62 ]....
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11,453 citations
"Hidden Markov Models in Bioinformat..." refers background in this paper
...Some authors [35, 36, 37, 38] specialised the HMM architecture to predict the topology of helical transmembrane proteins....
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11,364 citations
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"Hidden Markov Models in Bioinformat..." refers methods in this paper
...For example, HMMs are also used for bioinformatic predictions together with the so-called Support Vector Machine (SVM) [64], a technique based on the Vapnik-Chervonenkis theory [ 65 ] that produces decision surfaces in multidimensional spaces, in order to perform various kinds...
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Hidden Markov Models (HMMs) became recently important and popular among bioinformatics researchers, and many software tools are based on them.