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Hidden Markov Model

Known as: HMM 
A statistical model in which the system being modeled has unknown parameters, but the hidden parameters can be determined from the observable… Expand
National Institutes of Health

Papers overview

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Highly Cited
2007
Highly Cited
2007
Comprehensive identification and cataloging of copy number variations (CNVs) is required to provide a complete view of human… Expand
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Highly Cited
2007
Highly Cited
2007
The genealogical relationship of human, chimpanzee, and gorilla varies along the genome. We develop a hidden Markov model (HMM… Expand
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Highly Cited
2005
Highly Cited
2005
This paper represents an ongoing investigation of dexterous and natural control of upper extremity prostheses using the… Expand
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Highly Cited
2004
Highly Cited
2004
An inherent problem in transmembrane protein topology prediction and signal peptide prediction is the high similarity between the… Expand
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Highly Cited
2004
Highly Cited
2004
Methods that predict the topology of helical membrane proteins are standard tools when analyzing any proteome. Therefore, it is… Expand
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Highly Cited
2003
Highly Cited
2003
In the genomic era, one of the fundamental goals is to characterize the function of proteins on a large scale. We describe a… Expand
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Highly Cited
1998
Highly Cited
1998
A novel method to model and predict the location and orientation of alpha helices in membrane-spanning proteins is presented. It… Expand
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Review
1996
Review
1996
  • Sean R. Eddy
  • Current opinion in structural biology
  • 1996
  • Corpus ID: 784862
'Profiles' of protein structures and sequence alignments can detect subtle homologies. Profile analysis has been put on firmer… Expand
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Highly Cited
1994
Highly Cited
1994
Hidden Markov model (HMM) techniques are used to model families of biological sequences. A smooth and convergent algorithm is… Expand
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Highly Cited
1994
Highly Cited
1994
A hidden Markov model (HMM) has been developed to find protein coding genes in E. coli DNA using E. coli genome DNA sequence from… Expand
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