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» Prediction of protein structural class with Rough Sets
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IJCAI
2007
14 years 11 months ago
r-grams: Relational Grams
We introduce relational grams (r-grams). They upgrade n-grams for modeling relational sequences of atoms. As n-grams, r-grams are based on smoothed n-th order Markov chains. Smoot...
Niels Landwehr, Luc De Raedt
EVOW
2004
Springer
15 years 1 months ago
Evolving Regular Expression-Based Sequence Classifiers for Protein Nuclear Localisation
A number of bioinformatics tools use regular expression (RE) matching to locate protein or DNA sequence motifs that have been discovered by researchers in the laboratory. For exam...
Amine Heddad, Markus Brameier, Robert M. MacCallum
BMCBI
2010
112views more  BMCBI 2010»
14 years 9 months ago
Orientation-dependent backbone-only residue pair scoring functions for fixed backbone protein design
Background: Empirical scoring functions have proven useful in protein structure modeling. Most such scoring functions depend on protein side chain conformations. However, backbone...
Andrew J. Bordner
BMCBI
2006
133views more  BMCBI 2006»
14 years 9 months ago
Choosing negative examples for the prediction of protein-protein interactions
The protein-protein interaction networks of even well-studied model organisms are sketchy at best, highlighting the continued need for computational methods to help direct experim...
Asa Ben-Hur, William Stafford Noble
ALMOB
2006
155views more  ALMOB 2006»
14 years 9 months ago
A phylogenetic generalized hidden Markov model for predicting alternatively spliced exons
Background: An important challenge in eukaryotic gene prediction is accurate identification of alternatively spliced exons. Functional transcripts can go undetected in gene expres...
Jonathan E. Allen, Steven L. Salzberg