Hidden Markov model to predict the amino acid profile
Author(s) -
Endang Wahyu Handamari
Publication year - 2017
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.5016669
Subject(s) - hidden markov model , markov chain , sequence (biology) , protein sequencing , peptide sequence , sequence analysis , sequence database , sequence logo , multiple sequence alignment , computational biology , sequence alignment , computer science , markov model , maximum entropy markov model , pattern recognition (psychology) , protein function prediction , amino acid , markov process , artificial intelligence , genetics , variable order markov model , mathematics , biology , protein function , machine learning , gene , statistics
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