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» Predicting Peroxisomal Proteins
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BMCBI
2007
102views more  BMCBI 2007»
13 years 8 months ago
A mixture of feature experts approach for protein-protein interaction prediction
High-throughput methods can directly detect the set of interacting proteins in yeast but the results are often incomplete and exhibit high false positive and false negative rates....
Yanjun Qi, Judith Klein-Seetharaman, Ziv Bar-Josep...
BMCBI
2007
121views more  BMCBI 2007»
13 years 8 months ago
Predicting zinc binding at the proteome level
Background: Metalloproteins are proteins capable of binding one or more metal ions, which may be required for their biological function, for regulation of their activities or for ...
Andrea Passerini, Claudia Andreini, Sauro Menchett...
BMCBI
2010
179views more  BMCBI 2010»
13 years 8 months ago
A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
BMCBI
2008
160views more  BMCBI 2008»
13 years 8 months ago
Predicting cancer involvement of genes from heterogeneous data
Background: Systematic approaches for identifying proteins involved in different types of cancer are needed. Experimental techniques such as microarrays are being used to characte...
Ramon Aragues, Chris Sander, Baldo Oliva
BMCBI
2005
92views more  BMCBI 2005»
13 years 8 months ago
Predicting functional sites with an automated algorithm suitable for heterogeneous datasets
Background: In a previous report (La et al., Proteins, 2005), we have demonstrated that the identification of phylogenetic motifs, protein sequence fragments conserving the overal...
David La, Dennis R. Livesay