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WCRE
2005
IEEE
14 years 1 months ago
Enriching Reverse Engineering with Semantic Clustering
Understanding a software system by just analyzing the structure of the system reveals only half of the picture, since the structure tells us only how the code is working but not w...
Adrian Kuhn, Stéphane Ducasse, Tudor G&icir...
CONPAR
1992
13 years 11 months ago
Analysis of an Efficient Distributed Algorithm for Mutual Exclusion (Average-Case Analysis of Path Reversal)
The algorithm designed in [12, 15] was the very first distributed algorithm to solve the mutual exclusion problem in complete networks by using a dynamic logical tree structure as...
Christian Lavault
BIOINFORMATICS
2000
73views more  BIOINFORMATICS 2000»
13 years 7 months ago
Genetic network inference: from co-expression clustering to reverse engineering
Patrik D'haeseleer, Shoudan Liang, Roland Somogyi
BMCBI
2010
120views more  BMCBI 2010»
13 years 7 months ago
Examination of the relationship between essential genes in PPI network and hub proteins in reverse nearest neighbor topology
Background: In many protein-protein interaction (PPI) networks, densely connected hub proteins are more likely to be essential proteins. This is referred to as the "centralit...
Kang Ning, Hoong Kee Ng, Sriganesh Srihari, Hon Wa...
BMCBI
2004
87views more  BMCBI 2004»
13 years 7 months ago
Selection of informative clusters from hierarchical cluster tree with gene classes
Background: A common clustering method in the analysis of gene expression data has been hierarchical clustering. Usually the analysis involves selection of clusters by cutting the...
Petri Törönen