| 1 (Computational Intelligence in Bioinformatics) | |||
| 2 (Computational Intelligence in Medical Informatics) | |||
| Corresponding Auhtor | Title | Corresponding Proposed Book Title | Proposed Chapter Number (red=book 2) |
| Das, Swagatam | Swarm Intelligence Algorithms in Bioinformatics | 1 | 4 |
| *Bogan-Marta, Alina | Language engineering and information theoretic methods in protein sequence similarity studies | 2 | 8 |
| *Burns, Gully | Intelligent Approaches to Mining the Primary Research Literature: Techniques, Systems, and Examples | 2 | 2 |
| *Cao, Yingjun | S. pombe and S. cerevisiae Gene Regulatory Network Inference Using the Fuzzy Logic Network | 1 | 12 |
| *Chaira, Tamalika | Intuitionistic fuzzy set: Application to Healthcare | 2 | 3 |
| *Chow, Tommy | Selecting Genes from small sample sets of microarray gene expression data | 1 | 11 |
| *Donkers, Jeroen | Belief Networks for Bioinformatics | 1 | 3 |
| *Ebecken, Nelson | Auxiliary tool for the identification of genetic coding sequences in eukaryotic organisms | 2 | 7 |
| *Haavisto, Olli | Multivariate Regression Applied to Gene Expression Dynamics | 1 | 13 |
| -Han, Aili | DNA Encoding Methods in the Field of DNA Computing | 1 | 15 |
| *Jain, Vishal | Brain-Gene Ontology: Integrating Bioinformatics and Neuroinformatics Data, Information and Knowledge to Enable Discoveries | 2 | 11 |
| *Kaderali, Lars | Inferring Gene Regulatory Networks From Expression Data | 1 | 2 |
| Kelemen, Arpad | Review of Computational Intelligence for Gene-Gene Interactions in Disease Mapping | 1 | 1 |
| *Kocsor, Andras | Tree-based Algorithms for Protein Classification | 1 | 7 |
| *Kreinovich, Vladik | Aggregability: Its Importance in Bioinformatics and Evolutionary Computations, Algorithms and Computational Complexity | 2 | 4 |
| *Kroc, Jiri | Computational Modeling Epithelial and Mesenchymal Interactions During Morphological Development of Tissues | 2 | 13 |
| *Kvasnicka, Vlado | Artificial Chemistry and Molecular Darwinian Evolution of DNA/RNA-Like Systems | 2 | 14-15 |
| Liang, Yulan | Time Course Gene Expression Classification with Time Lagged Recurrent Neural Network | 1 | 6 |
| Liang, Yulan 2 | Comparisons of Statistical Learning Approaches for SNP Selections and Disease Classifications | 2 | 1 |
| *Mhamdi, Faouzi | Feature Construction to Discover Knowledge from Biological Sequences | 1 | 5 |
| *Navas-Delgado, Ismael | The Amine System Project: Systems Biology in Practice | 1 | 14 |
| *Schaefer, Gerald | Fuzzy classification for gene expression data analysis | 1 | 10 |
| *Sehgal, Shoaib | Gene Expression Imputation Techniques for Robust Post Genomic Knowledge Discovery | 2 | 9 |
| *Sehgal, Shoaib 2 | Computational Modelling Strategies for Gene Regulatory Network Reconstruction | 2 | 10 |
| *Siebel, Nils | Evolutionary Learning of Neural Structures fo Visuo-Motor Control | 2 | 5 |
| *Singh, Ashok | Dimension reduction for performing discriminant analysis for microarrays | 2 | 6 |
| *Smith, Scott | Covariance-Model-Based RNA Gene Finding: Using Dynamic Programming versus Evolutionary Computing | 1 | 9 |
| *Tasoulis, Dimitris | Computational Intelligence Algorithms and DNA Microarrays | 1 | 8 |
| *Zezula, Pavel | Efficiency and Scalability Issues in Metric Access Methods | 2 | 12 |