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» Predicting Peroxisomal Proteins
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BMCBI
2005
136views more  BMCBI 2005»
13 years 8 months ago
Automatic detection of false annotations via binary property clustering
Background: Computational protein annotation methods occasionally introduce errors. Falsepositive (FP) errors are annotations that are mistakenly associated with a protein. Such f...
Noam Kaplan, Michal Linial
ICML
2005
IEEE
14 years 9 months ago
Multi-class protein fold recognition using adaptive codes
We develop a novel multi-class classification method based on output codes for the problem of classifying a sequence of amino acids into one of many known protein structural class...
Eugene Ie, Jason Weston, William Stafford Noble, C...
BIBM
2007
IEEE
14 years 2 months ago
A Geometric Representation of Protein Sequences
The amino acid sequence of a protein is the key to understanding its structure and ultimately its function in the cell. This paper addresses the fundamental issue of encoding amin...
Shengyin Gu, Olivier Poch, Bernd Hamann, Patrice K...
AI
2005
Springer
13 years 8 months ago
Fast Protein Superfamily Classification Using Principal Component Null Space Analysis
Abstract. The protein family classification problem, which consists of determining the family memberships of given unknown protein sequences, is very important for a biologist for ...
Leon French, Alioune Ngom, Luis Rueda
BMCBI
2005
85views more  BMCBI 2005»
13 years 8 months ago
Prediction of twin-arginine signal peptides
Background: Proteins carrying twin-arginine (Tat) signal peptides are exported into the periplasmic compartment or extracellular environment independently of the classical Secdepe...
Jannick Dyrløv Bendtsen, Henrik Nielsen, Da...