Clustering challenges in biological networks [electronic resource] /
editors, Sergiy Butenko, W. Art Chaovalitwongse, Panos M. Pardalos.
- New Jersry : World Scientific, c2009.
- xii, 334 p. : ill. (some col.) ; 24 cm.
"This volume presents a collection of papers, several of which have been presented at DIMACS Workshop on Clustering Problems in Biological Networks that took place at Rutgers University on May-11, 2006"-- P. viii.
Includes bibliographical references and index.
Fixed-parameter algorithms for graph-modeled data clustering / F. Hüffner, R. Niedemeier and S. Wernicke -- Probabilistic distance clustering : algorithm and applications / C. Iyigun and A. Ben-Israel -- Analysis of regulatory and interaction networks from clusters of co-expressed genes / E. Yang ... [et al.] -- Graph-based approaches for motif discovery / E. Zaslavsky -- Statistical clustering analysis : an introduction / H. Zhang -- Diversity graphs / P. Blain ... [et al.] -- Identifying critical nodes in protein-protein interaction networks / V. Boginski and C.W. Commander -- Faster algorithms for constructing a concept (Galois) lattice / V. Choi -- A projected clustering algorithm and its biomedical application / P. Deng, Q. Ma and W. Wu -- Graph algorithms for integrated biological analysis, with applications to Type 1 diabetes data / J. D. Eblen ... [et al.] -- A novel similarity-based modularity function for graph partitioning / Z. Feng ... [et al.] -- Mechanism-based clustering of genome-wide RNA levels : roles of transcription and transcript-degradation rates / S. Ji ... [et al.] -- The complexity of feature selection for consistent biclustering / O. E. Kundakcioglu and P. M. Pardalos -- Clustering electroencephalogram recordings to study mesial temporal lobe epilepsy / C.-C. Liu ... [et al.] -- Relating subjective and objective pharmacovigilance association measures / R. K. Pearson -- A novel clustering approach : global optimum search with enhanced positioning / M. P. Tan and C. A. Floudas.
Electronic reproduction. Palo Alto, Calif. : ebrary, 2010. Available via World Wide Web. Access may be limited to ebrary affiliated libraries.