Graph partitioning for concurrent test scheduling in VLSI circuit
DAC '91 Proceedings of the 28th ACM/IEEE Design Automation Conference
New faster Kernighan-Lin-type graph-partitioning algorithms
ICCAD '93 Proceedings of the 1993 IEEE/ACM international conference on Computer-aided design
Effects of maximum flow algorithm on identifying web community
Proceedings of the 4th international workshop on Web information and data management
Parallel Multilevel Graph Partitioning
IPPS '96 Proceedings of the 10th International Parallel Processing Symposium
Graph-optimization techniques for IC layout and compaction
DAC '83 Proceedings of the 20th Design Automation Conference
Computing communities in large networks using random walks
ISCIS'05 Proceedings of the 20th international conference on Computer and Information Sciences
Guest Editorial: Intelligent data analysis in biomedicine
Journal of Biomedical Informatics
Adaptive modularization of the MAPK signaling pathway using the multiagent paradigm
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part II
Developmental trend derived from modules of Wnt signaling pathways
PReMI'11 Proceedings of the 4th international conference on Pattern recognition and machine intelligence
| Hi-index | 0.00 |
Signaling pathways are large complex biochemical networks. It is difficult to analyze the underlying mechanism of such networks as a whole. In the present article, we have proposed an algorithm for modularization of signal transduction pathways. Unlike studying a signaling pathway as a whole, this enables one to study the individual modules (less complex smaller units) easily and hence to study the entire pathway better. A comparative study of modules belonging to different species (for the same signaling pathway) has been made, which gives an overall idea about development of the signaling pathways over the taken set of species of calcium and MAPK signaling pathways. The superior performance, in terms of biological significance, of the proposed algorithm over an existing community finding algorithm of Newman [Newman MEJ. Modularity and community structure in networks. Proc Natl Acad Sci USA 2006;103(23):8577-82] has been demonstrated using the aforesaid pathways of H. sapiens.