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» Selecting maximally informative genes
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DFG
2007
Springer
14 years 1 months ago
PointCloudXplore 2: Visual Exploration of 3D Gene Expression
: To better understand how developmental regulatory networks are defined in the genome sequence, the Berkeley Drosophila Transcription Network Project (BDNTP) has developed a suit...
Oliver Rübel, Gunther H. Weber, Min-Yu Huang,...
KDD
2003
ACM
118views Data Mining» more  KDD 2003»
14 years 8 months ago
Generating English summaries of time series data using the Gricean maxims
We are developing technology for generating English textual summaries of time-series data, in three domains: weather forecasts, gas-turbine sensor readings, and hospital intensive...
Somayajulu Sripada, Ehud Reiter, Jim Hunter, Jin Y...
VTC
2007
IEEE
14 years 1 months ago
Discrete Power Allocation for Lifetime Maximization in Cooperative Networks
Abstract— Discrete power allocation strategies for amplifyand-forward cooperative networks are proposed based on selective relaying methods. The goal of power allocation is to ma...
Wan-Jen Huang, Yao-Win Hong, C. C. Jay Kuo
BMCBI
2010
132views more  BMCBI 2010»
13 years 7 months ago
Consistency, comprehensiveness, and compatibility of pathway databases
Background: It is necessary to analyze microarray experiments together with biological information to make better biological inferences. We investigate the adequacy of current bio...
Donny Soh, Difeng Dong, Yike Guo, Limsoon Wong
KDD
2005
ACM
122views Data Mining» more  KDD 2005»
14 years 8 months ago
Pattern lattice traversal by selective jumps
Regardless of the frequent patterns to discover, either the full frequent patterns or the condensed ones, either closed or maximal, the strategy always includes the traversal of t...
Osmar R. Zaïane, Mohammad El-Hajj