|
No.
|
T H E
M E S
|
|
1
|
Introduction
to Bioinformatics |
|
2
|
Computational
approaches to biological questions |
|
3
|
Fuzzy
algorithms and knowledge |
|
4
|
Neural networks
and learning |
|
5
|
Genetic algorithms
and evolution |
|
6
|
Fusion neural
networks and fuzzy logic |
|
7
|
Fusion evolutionary
algorithms and fuzzy logic |
|
8
|
Fusion evolutionary
algorithms and neural networks |
|
9
|
Structure and
function of gene |
|
10
|
DNA sequence analysis |
|
11
|
Hidden Markov
models |
|
12
|
Hidden Markov
models and applications |
|
13
|
Prediction of
molecular structure and function |
|
14
|
Prediction of
protein structure |
|
15
|
Bioinformatics
and biomedical engineering |