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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...
BMCBI
2008
184views more  BMCBI 2008»
13 years 5 months ago
Integrating protein-protein interactions and text mining for protein function prediction
Background: Functional annotation of proteins remains a challenging task. Currently the scientific literature serves as the main source for yet uncurated functional annotations, b...
Samira Jaeger, Sylvain Gaudan, Ulf Leser, Dietrich...
BMCBI
2010
114views more  BMCBI 2010»
13 years 5 months ago
An integrative modular approach to systematically predict gene-phenotype associations
Background: Complex human diseases are often caused by multiple mutations, each of which contributes only a minor effect to the disease phenotype. To study the basis for these com...
Michael R. Mehan, Juan Nunez-Iglesias, Chao Dai, M...
BMCBI
2006
174views more  BMCBI 2006»
13 years 5 months ago
Genome wide prediction of protein function via a generic knowledge discovery approach based on evidence integration
Background: The automation of many common molecular biology techniques has resulted in the accumulation of vast quantities of experimental data. One of the major challenges now fa...
Jianghui Xiong, Simon Rayner, Kunyi Luo, Yinghui L...
BMCBI
2010
179views more  BMCBI 2010»
13 years 5 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...