| 597 | -- | 623 | Leo van Iersel, Steven Kelk, Matthias Mnich. Uniqueness, Intractability and Exact Algorithms: Reflections on Level-k Phylogenetic Networks |
| 625 | -- | 644 | Sagi Snir, Tamir Tuller. The Net-HMM Approach: Phylogenetic Network Inference by Combining Maximum Likelihood and Hidden Markov Models |
| 645 | -- | 661 | Xin Chen. Curve-Based Clustering of Time Course Gene Expression Data Using Self-Organizing Maps |
| 663 | -- | 684 | André Fujita, João Ricardo Sato, Marcos Angelo Almeida Demasi, Mari Cleide Sogayar, Carlos Eduardo Ferreira, Satoru Miyano. Comparing Pearson, Spearman and Hoeffding s d Measure for Gene Expression Association Analysis |
| 685 | -- | 700 | Enrico Capobianco. Aliasing in Gene Feature Detection by Projective Methods |
| 701 | -- | 716 | Henry Chi-Ming Leung, Man-Hung Siu, Siu-Ming Yiu, Francis Yuk-Lun Chin, Ken Wing-Kin Sung. Clustering-Based Approach for Predicting Motif Pairs from protein Interaction Data |
| 717 | -- | 735 | Haseong Kim, Jae K. Lee, Taesung Park. Inference of Large-Scale Gene Regulatory Networks Using Regression-Based Network Approach |
| 737 | -- | 754 | Daniil Golod, Daniel G. Brown. A Tutorial of Techniques for Improving Standard Hidden Markov Model Algorithms |