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» A Theory of Probabilistic Functional Testing
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DILS
2009
Springer
15 years 4 months ago
Integration of Full-Coverage Probabilistic Functional Networks with Relevance to Specific Biological Processes
Probabilistic functional integrated networks are powerful tools with which to draw inferences from high-throughput data. However, network analyses are generally not tailored to spe...
Katherine James, Anil Wipat, Jennifer Hallinan
RECOMB
2003
Springer
15 years 9 months ago
An integrated probabilistic model for functional prediction of proteins
We develop an integrated probabilistic model to combine protein physical interactions, genetic interactions, highly correlated gene expression network, protein complex data, and d...
Minghua Deng, Ting Chen, Fengzhu Sun
62
Voted
JCC
2002
67views more  JCC 2002»
14 years 9 months ago
Quasi-degenerate perturbation theory with general multiconfiguration self-consistent field reference functions
: The quasi-degenerate perturbation theory (QDPT) with complete active space (CAS) self-consistent field (SCF) reference functions is extended to the general multiconfiguration (MC...
Haruyuki Nakano, Ryuma Uchiyama, Kimihiko Hirao
87
Voted
TIT
2008
139views more  TIT 2008»
14 years 9 months ago
Asymptotic Optimality Theory for Decentralized Sequential Hypothesis Testing in Sensor Networks
The decentralized sequential hypothesis testing problem is studied in sensor networks, where a set of sensors receive independent observations and send summary messages to the fusi...
Yajun Mei
65
Voted
ICONIP
2007
14 years 11 months ago
Diverse Evolutionary Neural Networks Based on Information Theory
There is no consensus on measuring distances between two different neural network architectures. Two folds of methods are used for that purpose: Structural and behavioral distance ...
Kyung-Joong Kim, Sung-Bae Cho