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LION
2009
Springer
112views Optimization» more  LION 2009»
10 years 11 months ago
A Graph-Based Semi-supervised Algorithm for Protein Function Prediction from Interaction Maps
Abstract. Protein function prediction represents a fundamental challenge in bioinformatics. The increasing availability of proteomics network data has enabled the development of se...
Valerio Freschi
TIP
2010
182views more  TIP 2010»
9 years 11 months ago
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changsh...
BIOINFORMATICS
2008
135views more  BIOINFORMATICS 2008»
10 years 4 months ago
Message-passing algorithms for the prediction of protein domain interactions from protein-protein interaction data
Motivation: Cellular processes often hinge upon specific interactions among proteins, and knowledge of these processes at a system level constitutes a major goal of proteomics. In...
Mudassar Iqbal, Alex Alves Freitas, Colin G. Johns...
BMCBI
2008
110views more  BMCBI 2008»
10 years 4 months ago
Enhancing the prediction of protein pairings between interacting families using orthology information
Background: It has repeatedly been shown that interacting protein families tend to have similar phylogenetic trees. These similarities can be used to predicting the mapping betwee...
José M. G. Izarzugaza, David de Juan, Carle...
BMCBI
2010
142views more  BMCBI 2010»
10 years 4 months ago
Discover Protein Complexes in Protein-Protein Interaction Networks Using Parametric Local Modularity
Background: Recent advances in proteomic technologies have enabled us to create detailed protein-protein interaction maps in multiple species and in both normal and diseased cells...
Jongkwang Kim, Kai Tan
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