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» Boosting Methods for Protein Fold Recognition: An Empirical ...
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BMCBI
2004
176views more  BMCBI 2004»
13 years 5 months ago
Boosting accuracy of automated classification of fluorescence microscope images for location proteomics
Background: Detailed knowledge of the subcellular location of each expressed protein is critical to a full understanding of its function. Fluorescence microscopy, in combination w...
Kai Huang, Robert F. Murphy
BMCBI
2010
163views more  BMCBI 2010»
13 years 5 months ago
Reduced representation of protein structure: implications on efficiency and scope of detection of structural similarity
Background: Computational comparison of two protein structures is the starting point of many methods that build on existing knowledge, such as structure modeling (including modeli...
Zong Hong Zhang, Hwee Kuan Lee, Ivana Mihalek
BMCBI
2010
148views more  BMCBI 2010»
13 years 5 months ago
Analysis of interactions between ribosomal proteins and RNA structural motifs
Background: One important goal of structural bioinformatics is to recognize and predict the interactions between protein binding sites and RNA. Recently, a comprehensive analysis ...
Giovanni Ciriello, Claudio Gallina, Concettina Gue...
TCBB
2010
112views more  TCBB 2010»
13 years 9 days ago
A Study of Hierarchical and Flat Classification of Proteins
Automatic classification of proteins using machine learning is an important problem that has received significant attention in the literature. One feature of this problem is that e...
Arthur Zimek, Fabian Buchwald, Eibe Frank, Stefan ...
BMCBI
2005
100views more  BMCBI 2005»
13 years 5 months ago
EvDTree: structure-dependent substitution profiles based on decision tree classification of 3D environments
Background: Structure-dependent substitution matrices increase the accuracy of sequence alignments when the 3D structure of one sequence is known, and are successful e.g. in fold ...
Jean-Christophe Gelly, Laurent Chiche, Jér&...