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» Token Identification Using HMM and PPM Models
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CIBCB
2005
IEEE
14 years 11 months ago
Pathway Analyst--Automated Metabolic Pathway Prediction
—Metabolic pathways are crucial to our understanding of biology. The speed at which new organisms are being sequenced is outstripping our ability to experimentally determine thei...
Luca Pireddu, Brett Poulin, Duane Szafron, Paul Lu...
BMCBI
2010
123views more  BMCBI 2010»
14 years 4 months ago
Predicting conserved protein motifs with Sub-HMMs
Background: Profile HMMs (hidden Markov models) provide effective methods for modeling the conserved regions of protein families. A limitation of the resulting domain models is th...
Kevin Horan, Christian R. Shelton, Thomas Girke
108
Voted
ISSRE
2002
IEEE
15 years 2 months ago
Toward A Quantifiable Definition of Software Faults
An important aspect of developing models relating the number and type of faults in a software system to a set of structural measurement is defining what constitutes a fault. By de...
John C. Munson, Allen P. Nikora
CCS
2009
ACM
15 years 10 months ago
Hidden credential retrieval from a reusable password
We revisit the venerable question of access credentials management, which concerns the techniques that we, humans with limited memory, must employ to safeguard our various access ...
Xavier Boyen
BMCBI
2006
91views more  BMCBI 2006»
14 years 9 months ago
Cheminformatics methods for novel nanopore analysis of HIV DNA termini
Background: Channel current feature extraction methods, using Hidden Markov Models (HMMs) have been designed for tracking individual-molecule conformational changes. This informat...
Stephen Winters-Hilt, Matthew Landry, Mark Akeson,...