1 (Computational Intelligence in Bioinformatics) |
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2
(Computational Intelligence in Medical Informatics) |
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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 |
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