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ICMLA
2010
13 years 8 months ago
Smoothing Gene Expression Using Biological Networks
Gene expression (microarray) data have been used widely in bioinformatics. The expression data of a large number of genes from small numbers of subjects are used to identify inform...
Yue Fan, Mark A. Kon, Shinuk Kim, Charles DeLisi
POPL
2004
ACM
14 years 10 months ago
Parsing expression grammars: a recognition-based syntactic foundation
For decades we have been using Chomsky's generative system of grammars, particularly context-free grammars (CFGs) and regular expressions (REs), to express the syntax of prog...
Bryan Ford
LICS
2009
IEEE
14 years 4 months ago
Expressiveness and Closure Properties for Quantitative Languages
Weighted automata are nondeterministic automata with numerical weights on transitions. They can define quantitative languages L that assign to each word w a real number L(w). In ...
Krishnendu Chatterjee, Laurent Doyen, Thomas A. He...
MICCAI
2005
Springer
14 years 11 months ago
Hybrid Segmentation Framework for Tissue Images Containing Gene Expression Data
Associating speci c gene activity with speci c functional locations in the brain anatomy results in a greater understanding of the role of the gene's products. To perform such...
Musodiq Bello, Tao Ju, Joe D. Warren, James Carson...
JIB
2007
88views more  JIB 2007»
13 years 10 months ago
Achieving k-anonymity in DataMarts used for gene expressions exploitation
Gene expression profiling is a sophisticated method to discover differences in activation patterns of genes between different patient collectives. By reasonably defining patient...
Konrad Stark, Johann Eder, Kurt Zatloukal