منابع مشابه
Profile hidden Markov models
The recent literature on profile hidden Markov model (profile HMM) methods and software is reviewed. Profile HMMs turn a multiple sequence alignment into a position-specific scoring system suitable for searching databases for remotely homologous sequences. Profile HMM analyses complement standard pairwise comparison methods for large-scale sequence analysis. Several software implementations and...
متن کاملProfile Modeling with Hidden Markov Models Summary
The “fundamental” states N in a Hidden Markov Model are (especially in bioinformatics) usually called match states. Sequences formed with symbols of a finite alphabet E are the observations on which the HMM will be based. Two different stochastic processes operate on the state set: one process moves from one state to another, and the second process controls the emission of symbols of E with pro...
متن کاملCharacterizing activity sequences using profile Hidden Markov Models
In literature, activity sequences, generated from activity-travel diaries, have been analyzed and classified into clusters based on the composition and ordering of the activities using Sequence Alignment Methods (SAM). However, using these methods, only the frequent activities in each cluster are extracted and qualitatively described; the infrequent activities and their related travel episodes ...
متن کاملDetecting Metamorphic Viruses Using Profile Hidden Markov Models
Detecting Metamorphic Viruses using Profile Hidden Markov Models By Srilatha Attaluri Metamorphic computer viruses “mutate” by changing their structure every time they propagate. Unlike other viruses, they use code obfuscation techniques on the body of the virus and do not exhibit a common signature. With the advent of construction kits, it is easy to generate various metamorphic strains of a v...
متن کاملSkeleton-Based Human Action Recognition with Profile Hidden Markov Models
Recognizing human actions from image sequences is an active area of research in computer vision. In this paper, a novel HMMbased approach is proposed for human action recognition using 3D positions of body joints. First, actions are segmented into meaningful action units called dynamic instants and intervals by using motion velocities, the direction of motion, and the curvatures of 3D trajector...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 1998
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/14.9.755