LEADER 04261nam 22006134a 450 001 9910780925403321 005 20230721005550.0 010 $a1-282-44130-2 010 $a9786612441301 010 $a981-277-166-2 035 $a(CKB)2550000000002256 035 $a(EBL)477118 035 $a(OCoLC)608624721 035 $a(SSID)ssj0000335906 035 $a(PQKBManifestationID)11230873 035 $a(PQKBTitleCode)TC0000335906 035 $a(PQKBWorkID)10278773 035 $a(PQKB)11460058 035 $a(MiAaPQ)EBC477118 035 $a(WSP)00000407 035 $a(Au-PeEL)EBL477118 035 $a(CaPaEBR)ebr10361749 035 $a(CaONFJC)MIL244130 035 $a(EXLCZ)992550000000002256 100 $a20090805d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aClustering challenges in biological networks$b[electronic resource] /$feditors, Sergiy Butenko, W. Art Chaovalitwongse, Panos M. Pardalos 210 $aNew Jersry $cWorld Scientific$dc2009 215 $a1 online resource (347 p.) 300 $a"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. 311 $a981-277-165-4 320 $aIncludes bibliographical references and index. 327 $aFixed-parameter algorithms for graph-modeled data clustering / F. Hu?ffner, 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. 330 $aThis volume presents a collection of papers dealing with various aspects of clustering in biological networks and other related problems in computational biology. It consists of two parts, with the first part containing surveys of selected topics and the second part presenting original research contributions. This book will be a valuable source of material to faculty, students, and researchers in mathematical programming, data analysis and data mining, as well as people working in bioinformatics, computer science, engineering, and applied mathematics. In addition, the book can be used as a sup 606 $aBiology$xMathematical models$vCongresses 606 $aCluster analysis$vCongresses 615 0$aBiology$xMathematical models 615 0$aCluster analysis 676 $a570.1/5118 701 $aButenko$b Sergiy$01566428 701 $aChaovalitwongse$b W. Art$01566429 701 $aPardalos$b P. M$g(Panos M.),$f1954-$0318341 712 12$aDIMACS Workshop on Clustering Problems in Biological Networks$f(2006 :$eRutgers University) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910780925403321 996 $aClustering challenges in biological networks$93836899 997 $aUNINA