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» Information matrix for hidden Markov models with covariates
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APN
2005
Springer
15 years 4 months ago
Genetic Process Mining
The topic of process mining has attracted the attention of both researchers and tool vendors in the Business Process Management (BPM) space. The goal of process mining is to discov...
Wil M. P. van der Aalst, Ana Karla A. de Medeiros,...
BMCBI
2008
130views more  BMCBI 2008»
14 years 10 months ago
Structural descriptor database: a new tool for sequence-based functional site prediction
Background: The Structural Descriptor Database (SDDB) is a web-based tool that predicts the function of proteins and functional site positions based on the structural properties o...
Juliana S. Bernardes, Jorge H. Fernandez, Ana Tere...
BMCBI
2006
91views more  BMCBI 2006»
14 years 10 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,...
BMCBI
2007
141views more  BMCBI 2007»
14 years 10 months ago
Using structural motif descriptors for sequence-based binding site prediction
Background: Many protein sequences are still poorly annotated. Functional characterization of a protein is often improved by the identification of its interaction partners. Here, ...
Andreas Henschel, Christof Winter, Wan Kyu Kim, Mi...
TASLP
2008
122views more  TASLP 2008»
14 years 9 months ago
Challenging Uncertainty in Query by Humming Systems: A Fingerprinting Approach
Robust data retrieval in the presence of uncertainty is a challenging problem in multimedia information retrieval. In query-by-humming (QBH) systems, uncertainty can arise in query...
Erdem Unal, Elaine Chew, Panayiotis G. Georgiou, S...