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ICMLA
2010
15 years 5 days 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
16 years 2 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
15 years 8 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
16 years 3 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»
15 years 2 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