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BMCBI
2010
179views more  BMCBI 2010»
15 years 4 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
2007
114views more  BMCBI 2007»
15 years 4 months ago
Mining and state-space modeling and verification of sub-networks from large-scale biomolecular networks
Background: Biomolecular networks dynamically respond to stimuli and implement cellular function. Understanding these dynamic changes is the key challenge for cell biologists. As ...
Xiaohua Hu, Fang-Xiang Wu
BMCBI
2010
132views more  BMCBI 2010»
15 years 4 months ago
Protein network prediction and topological analysis in Leishmania major as a tool for drug target selection
Background: Leishmaniasis is a virulent parasitic infection that causes a worldwide disease burden. Most treatments have toxic side-effects and efficacy has decreased due to the e...
Andrés F. Flórez, Daeui Park, Jong B...
BMCBI
2007
126views more  BMCBI 2007»
15 years 4 months ago
High-throughput identification of interacting protein-protein binding sites
Background: With the advent of increasing sequence and structural data, a number of methods have been proposed to locate putative protein binding sites from protein surfaces. Ther...
Jo-Lan Chung, Wei Wang, Philip E. Bourne
CORR
2010
Springer
210views Education» more  CORR 2010»
15 years 4 months ago
Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
Tomer Faktor, Yonina C. Eldar, Michael Elad