Pt. 1 | | Surveys of Selected Topics | | 1 |
1 | | Fixed-Parameter Algorithms for Graph-Modeled Data Clustering by F. Huffner and R. Niedermeier and S. Wernicke | | 3 |
2 | | Probabilistic Distance Clustering: Algorithm and Applications by C. Iyigun and A. Ben-Israel | | 29 |
3 | | Analysis of Regulatory and Interaction Networks from Clusters of Co-expressed Genes by E. Yang and A. Misra and T. J. Maguire and I. P. Androulakis | | 53 |
4 | | Graph-based Approaches for Motif Discovery by E. Zaslavsky | | 83 |
5 | | Statistical Clustering Analysis: An Introduction by H. Zhang | | 101 |
Pt. 2 | | New Methods and Applications | | 127 |
6 | | Diversity Graphs by P. Blain and C. Davis and A. Holder and J. Silva and C. Vinzant | | 129 |
7 | | Identifying Critical Nodes in Protein-Protein Interaction Networks by V. Boginski and C. W. Commander | | 153 |
8 | | Faster Algorithms for Constructing a Concept (Galois) Lattice by V. Choi | | 169 |
9 | | A Projected Clustering Algorithm and Its Biomedical Application by P. Deng and Q. Ma and W. Wu | | 187 |
10 | | Graph Algorithms for Integrated Biological Analysis, with Applications to Type 1 Diabetes Data by J. D. Eblen and I. C. Gerling and A. M. Saxton and J. Wu and J. R. Snoddy and M. A. Langston | | 207 |
11 | | A Novel Similarity-based Modularity Function for Graph Partitioning by Z. Feng and X. Xu and N. Yuruk and T. Schweiger | | 223 |
12 | | Mechanism-based Clustering of Genome-wide RNA Levels: Roles of Transcription and Transcript-Degradation Rates by S. Ji and W. A. Chaovalitwongse and N. Fefferman and W. Yoo and J. E. Perez-Ortin | | 237 |
13 | | The Complexity of Feature Selection for Consistent Biclustering by O. E. Kundakcioglu and P. M. Pardalos | | 257 |
14 | | Clustering Electroencephalogram Recordings to Study Mesial Temporal Lobe Epilepsy by C.-C. Liu and W. Suharitdamrong and W. A. Chaovalitwongse and G. A. Ghacibeh and P. M. Purdalos | | 267 |
15 | | Relating Subjective and Objective Pharmacovigilance Association Measures by R. K. Pearson | | 281 |
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