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» On Structural Analysis of Large Networks
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BMCBI
2010
101views more  BMCBI 2010»
15 years 4 months ago
Comparative analysis of thermophilic and mesophilic proteins using Protein Energy Networks
Background: Thermophilic proteins sustain themselves and function at higher temperatures. Despite their structural and functional similarities with their mesophilic homologues, th...
M. S. Vijayabaskar, Saraswathi Vishveshwara
BMCBI
2010
96views more  BMCBI 2010»
15 years 4 months ago
A statistical framework for differential network analysis from microarray data
Background: It has been long well known that genes do not act alone; rather groups of genes act in consort during a biological process. Consequently, the expression levels of gene...
Ryan Gill, Somnath Datta, Susmita Datta
BMCBI
2010
139views more  BMCBI 2010»
15 years 4 months ago
A highly efficient multi-core algorithm for clustering extremely large datasets
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
Johann M. Kraus, Hans A. Kestler
BMCBI
2008
131views more  BMCBI 2008»
15 years 4 months ago
Modifying the DPClus algorithm for identifying protein complexes based on new topological structures
Background: Identification of protein complexes is crucial for understanding principles of cellular organization and functions. As the size of protein-protein interaction set incr...
Min Li, Jianer Chen, Jianxin Wang, Bin Hu, Gang Ch...
STOC
2004
ACM
150views Algorithms» more  STOC 2004»
16 years 4 months ago
Typical properties of winners and losers in discrete optimization
We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a...
René Beier, Berthold Vöcking