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» Predicting Peroxisomal Proteins
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BMCBI
2011
12 years 12 months ago
RegNetB: Predicting Relevant Regulator-Gene Relationships in Localized Prostate Tumor Samples
Background: A central question in cancer biology is what changes cause a healthy cell to form a tumor. Gene expression data could provide insight into this question, but it is dif...
Angel Alvarez, Peter J. Woolf
CIBCB
2006
IEEE
14 years 2 months ago
A Swarm Intelligence Based Algorithm for Proteomic Pattern Detection of Ovarian Cancer
- The advanced protein profiling technologies can simultaneously resolve and analyze multiple proteins. Evaluating multiple proteins will be essential to establish signature proteo...
Yan Meng
BMCBI
2011
13 years 3 months ago
Implementation of Force Distribution Analysis for Molecular Dynamics simulations
Background: The way mechanical stress is distributed inside and propagated by proteins and other biopolymers largely defines their function. Yet, determining the network of intera...
Wolfram Stacklies, Christian Seifert, Frauke Graet...
BIBE
2005
IEEE
154views Bioinformatics» more  BIBE 2005»
14 years 1 months ago
Effective Pre-Processing Strategies for Functional Clustering of a Protein-Protein Interactions Network
In this article we present novel preprocessing techniques, based on topological measures of the network, to identify clusters of proteins from Protein-protein interaction (PPI) ne...
Duygu Ucar, Srinivasan Parthasarathy, Sitaram Asur...
ICDM
2009
IEEE
152views Data Mining» more  ICDM 2009»
14 years 2 months ago
SLIDER: Mining Correlated Motifs in Protein-Protein Interaction Networks
Correlated motif mining (CMM) is the problem to find overrepresented pairs of patterns, called motif pairs, in interacting protein sequences. Algorithmic solutions for CMM thereb...
Peter Boyen, Frank Neven, Dries Van Dyck, Aalt-Jan...