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» Complex Function Sets Improve Symbolic Discriminant Analysis...
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96
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BMCBI
2010
142views more  BMCBI 2010»
14 years 10 months ago
Discover Protein Complexes in Protein-Protein Interaction Networks Using Parametric Local Modularity
Background: Recent advances in proteomic technologies have enabled us to create detailed protein-protein interaction maps in multiple species and in both normal and diseased cells...
Jongkwang Kim, Kai Tan
87
Voted
BMCBI
2007
148views more  BMCBI 2007»
14 years 10 months ago
fREDUCE: Detection of degenerate regulatory elements using correlation with expression
Background: The precision of transcriptional regulation is made possible by the specificity of physical interactions between transcription factors and their cognate binding sites ...
Randy Z. Wu, Christina Chaivorapol, Jiashun Zheng,...
ICS
2005
Tsinghua U.
15 years 3 months ago
Lightweight reference affinity analysis
Previous studies have shown that array regrouping and structure splitting significantly improve data locality. The most effective technique relies on profiling every access to eve...
Xipeng Shen, Yaoqing Gao, Chen Ding, Roch Archamba...
BMCBI
2007
78views more  BMCBI 2007»
14 years 10 months ago
Improved human disease candidate gene prioritization using mouse phenotype
Background: The majority of common diseases are multi-factorial and modified by genetically and mechanistically complex polygenic interactions and environmental factors. High-thro...
Jing Chen, Huan Xu, Bruce J. Aronow, Anil G. Jegga
STOC
2003
ACM
188views Algorithms» more  STOC 2003»
15 years 10 months ago
Almost random graphs with simple hash functions
We describe a simple randomized construction for generating pairs of hash functions h1, h2 from a universe U to ranges V = [m] = {0, 1, . . . , m - 1} and W = [m] so that for ever...
Martin Dietzfelbinger, Philipp Woelfel