Sciweavers

25 search results - page 1 / 5
» Filtering high-throughput protein-protein interaction data u...
Sort
View
IDEAL
2004
Springer
13 years 10 months ago
Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining
Proteins are known to perform a biological function by interacting with other proteins or compounds. Since protein–protein interaction is intrinsic to most cellular processes, pr...
Jae-Hong Eom, Jeong Ho Chang, Byoung-Tak Zhang
BMCBI
2007
200views more  BMCBI 2007»
13 years 5 months ago
Assessment of algorithms for high throughput detection of genomic copy number variation in oligonucleotide microarray data
Background: Genomic deletions and duplications are important in the pathogenesis of diseases, such as cancer and mental retardation, and have recently been shown to occur frequent...
Ágnes Baross, Allen D. Delaney, H. Irene Li...
BMCBI
2005
92views more  BMCBI 2005»
13 years 4 months ago
Filtering high-throughput protein-protein interaction data using a combination of genomic features
Background: Protein-protein interaction data used in the creation or prediction of molecular networks is usually obtained from large scale or high-throughput experiments. This exp...
Ashwini Patil, Haruki Nakamura
IJCBDD
2010
127views more  IJCBDD 2010»
13 years 3 months ago
Predicting protein complexes by data integration of different types of interactions
: The explosion of highthroughput interaction data from proteomics studies gives us the opportunity to integrate Protein-Protein Interactions (PPI) from different type of interacti...
Powell Patrick Cheng Tan, Daryanaz Dargahi, Freder...
SDM
2009
SIAM
192views Data Mining» more  SDM 2009»
14 years 2 months ago
Mining Cohesive Patterns from Graphs with Feature Vectors.
The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...